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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2022.1032471</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Salivary gland cancers in elderly patients: challenges and therapeutic strategies</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Colombo</surname>
<given-names>Elena</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1952307"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Van Lierde</surname>
<given-names>Charlotte</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1048940"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zlate</surname>
<given-names>Alexandra</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jensen</surname>
<given-names>Alexandra</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1529613"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gatta</surname>
<given-names>Gemma</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/752839"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Didon&#xe8;</surname>
<given-names>Fabio</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1900306"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Licitra</surname>
<given-names>Lisa F.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/497479"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gr&#xe9;goire</surname>
<given-names>Vincent</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn004">
<sup>&#x2021;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/149775"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vander Poorten</surname>
<given-names>Vander</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn004">
<sup>&#x2021;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/340971"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Locati</surname>
<given-names>Laura D.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn004">
<sup>&#x2021;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/723010"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Head and Neck Medical Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori</institution>, <addr-line>Milan</addr-line>, <country>Italy</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Otorhinolaryngology-Head and Neck Surgery, Leuven Cancer Institute, University Hospitals Leuven and Department of Oncology, section Head and Neck Oncology, KU Leuven</institution>, <addr-line>Leuven</addr-line>, <country>Belgium</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Radiation Oncology, Centre Leon Berard</institution>, <addr-line>Lyon</addr-line>, <country>France</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Radiation Oncology, University Hospitals Giessen and Marburg (UKGM)</institution>, <addr-line>Marburg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Evaluative Epidemiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori</institution>, <addr-line>Milan</addr-line>, <country>Italy</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Oncology and Hematology, University of Milan</institution>, <addr-line>Milan</addr-line>, <country>Italy</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Jan Baptist Vermorken, University of Antwerp, Belgium</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Hitesh Singhavi, Fortis Hospital, India; Katri Aro, University of California, Los Angeles, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Elena Colombo, <email xlink:href="mailto:elena.colombo@istitutotumori.mi.it">elena.colombo@istitutotumori.mi.it</email>
</p>
</fn>
<fn fn-type="other" id="fn003">
<p>&#x2020;These authors share first authorship</p>
</fn>
<fn fn-type="other" id="fn004">
<p>&#x2021;These authors share last authorship</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Head and Neck Cancer, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>11</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>1032471</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>08</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>10</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Colombo, Van Lierde, Zlate, Jensen, Gatta, Didon&#xe8;, Licitra, Gr&#xe9;goire, Vander Poorten and Locati</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Colombo, Van Lierde, Zlate, Jensen, Gatta, Didon&#xe8;, Licitra, Gr&#xe9;goire, Vander Poorten and Locati</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Salivary gland carcinomas (SGCs) are the most heterogeneous subgroup of head and neck malignant tumors, accounting for more than 20 subtypes. The median age of SGC diagnosis is expected to rise in the following decades, leading to crucial clinical challenges in geriatric oncology. Elderly patients, in comparison with patients aged below 65 years, are generally considered less amenable to receiving state-of-the-art curative treatments for localized disease, such as surgery and radiation/particle therapy. In the advanced setting, chemotherapy regimens are often dampened by the consideration of cardiovascular and renal comorbidities. Nevertheless, the elderly population encompasses a broad spectrum of functionalities. In the last decades, some screening tools (e.g. the G8 questionnaire) have been developed to identify those subjects who should receive a multidimensional geriatric assessment, to answer the question about the feasibility of complex treatments. In the present article, we discuss the most frequent SGC histologies diagnosed in the elderly population and the relative 5-years survival outcomes based on the most recent data from the Surveillance, Epidemiology, and End Results (SEER) Program. Moreover, we review the therapeutic strategies currently available for locoregionally advanced and metastatic disease, taking into account the recent advances in precision oncology. The synergy between the Multidisciplinary Tumor Board and the Geriatrician aims to shape the most appropriate treatment pathway for each elderly patient, focusing on global functionality instead of the sole chronological age.</p>
</abstract>
<kwd-group>
<kwd>salivary gland (SG) tumors</kwd>
<kwd>geriatric oncology</kwd>
<kwd>salivary gland surgery</kwd>
<kwd>radiation therapy (radiotherapy)</kwd>
<kwd>particle therapy</kwd>
<kwd>precision oncology</kwd>
<kwd>multidisciplinary team (MDT)</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="9"/>
<equation-count count="0"/>
<ref-count count="208"/>
<page-count count="29"/>
<word-count count="15787"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>1 Introduction</title>
<p>The global population is ageing at a fast pace. In 2050, the proportion of the world&#x2019;s population over 60 years is expected to reach 22%, almost doubling the 12% of 2015 (<xref ref-type="bibr" rid="B1">1</xref>). The World Health Organization (WHO) defines <italic>elderly</italic> the subjects aged beyond 65 years (65y+), a highly heterogeneous group of people in terms of performance status, comorbidities and vulnerabilities.</p>
<p>The variability of elderly patients poses significant challenges to the clinical practice of oncology (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>), including the context of rare cancers, where few clinical trials are available and study populations are less numerous (<xref ref-type="bibr" rid="B4">4</xref>). Clinicians have few tools to estimate the risk/benefit balance of treatments for elderly patients, since an age subgroup-specific analysis is unlikely feasible. However, the differences in survival outcomes from rare cancers in the United States and Europe are more evident for age group rather than for cancer type, with the 65y+ subjects at high risk of poor outcome (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>The level of clinical challenge is major for patients with rare tumors requiring a multidisciplinary approach, as in the case of head and neck cancers (HNCs). In patients with HNCs, both age and comorbidities influence the overall survival (OS), possibly because of advanced tumor stage, inability to perform multimodal treatments and/or non cancer-related causes of death (<xref ref-type="bibr" rid="B6">6</xref>). Moreover, the consideration of chronological age and mild/moderate comorbidities may result in the selection of substandard treatments, which are associated to lower OS and cancer-specific survival, in comparison with the state-of-the-art (<xref ref-type="bibr" rid="B7">7</xref>). However, HNCs encompass a heterogeneous group of cancers with different histologies and clinical courses. This review is focused on salivary gland cancers (SGCs) in elderly patients, including the most recent epidemiological findings, the current treatment approaches and the future perspectives.</p>
<p>SGCs are rare cancers, accounting for less than 5% of all malignancies of the cervicofacial region. The WHO Global Cancer Observatory (Globocan) reported 53.583 new cases of SGCs diagnosed in 2020 worldwide, 43% occurring in the elderly, and causing 12.339 cancer-specific deaths, with a male-to-female ratio of 1.3:1. In the next two decades, the new diagnoses in the elderly age group are expected to account for 80% of the total SGCs diagnoses; similarly, SGCs in this group are expected to cause the 88% of all SGC-specific deaths (<xref ref-type="bibr" rid="B8">8</xref>). The impact of SGCs in the elderly is going to become a crucial health issue, thus research efforts should be encouraged to identify the main risk factors and the most effective therapeutic strategies for this multifaceted population.</p>
<p>The ICARE study, a multicenter, population-based, case-control study recently conducted in France on 73 SCGs and 3555 controls, reported that the main risk factors for SGCs were related to a previous history of cervicofacial radiation therapy (RT), either for HNCs (odds ratio, OR = 31.74, 95% CI 2.5 &#x2013; 405.2) or hematological cancers (OR = 5.1, 95% CI 0.6 &#x2013; 46.2), and professional exposure to chemicals, such as metals in the plumbing industry, electrical equipment and nickel compounds/alloy. In the ICARE study, the mean age at diagnosis was 56.9 years, with 27% of the population aged more than 62 years (<xref ref-type="bibr" rid="B9">9</xref>). Another case-control study conducted in Japan showed that heavy smokers were at higher risk of developing SGCs, compared with never smokers (OR = 3.45, 95% CI 2.06-12.87; p &lt; 0.001); 43.7% of the study population was more than 60 years of age (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>On the basis of the current literature, it is unknown whether the onset of SGCs in the elderly population could be sustained by risk factors that are different from those of younger patients. However, some differences can be observed not only in the survival outcomes, but also in the histotype-specific incidence. The clinical management of elderly patients has improved in the last decades, due to new clinical tools of geriatric assessment. The Comprehensive Geriatric Assessment (CGA) is a method for identifying elderly patients at risk of life-threatening events during oncological therapy by analyzing several domains (functionality, nutrition, cognition, psychological state, social support, comorbidities, medication review, and geriatric syndromes). It can predict functional decline and also be used to adapt cancer treatment, as demonstrated by the ELCAPA study (<xref ref-type="bibr" rid="B11">11</xref>). Since CGA is a time-consuming tool, in the last decade various screening instruments were adopted, in order to refine the selection of vulnerable patients who could benefit from a CGA. The G8 questionnaire, based on seven items from the Mini Nutritional Assessment (MNA) and age as the 8<sup>th</sup> item, uses a scoring system from 0 to 17, where a result below the cut-off value of 14 identifies those patients who should be addressed to CGA. G8 has been validated in multicenter cohort studies (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>) and also in a population of elderly HNSCC patients treated with chemo(radio)therapy (<xref ref-type="bibr" rid="B14">14</xref>). G8 has high sensitivity, but a proportion of patients with G8 scores &#x2264;14 has no major vulnerabilities detected by the CGA. Moreover, the level of G8 specificity may vary according to the primary tumor sites, as demonstrated by the ELCAPA-02 study, which included few patients with HNC (n=4) (<xref ref-type="bibr" rid="B15">15</xref>). An optimized version of the G8 was recently proposed, including six independent predictors for abnormal CGA: weight loss, cognition/mood, performance status, self-rated health status, polypharmacy (&#x2265; 6 medications per day), and history of heart failure/coronary heart disease (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Focusing on the treatment of patients with SGCs, the recently released ASCO Guidelines recommend taking clinical decisions in the context of a multidisciplinary tumor board, focusing on histology, disease burden and site of tumor deposits, potential treatment-related toxicities, patient&#x2019;s overall health, comorbidities and function (<xref ref-type="bibr" rid="B17">17</xref>). Comorbidities are the Achilles&#x2019; heel of elderly patients with cancer, however, patients with SGCs have less comorbidities compared to those with other HNCs. In a retrospectively analyzed cohort of 666 patients with SGCs, OS &#x2013; but not disease-free survival (DFS) &#x2013; was influenced by the Adult Comorbidity Evaluation index (ACE-27). The ACE-27 scoring was affected by age and gender, possibly influenced by lifestyle. In that study, patients with comorbidities were more likely to receive a non-surgical treatment, i.e. exclusive RT, or no treatment at all, achieving a worse outcome. The impact of comorbidities was not related to the histological subtypes, except for the squamous cell histology. Interestingly, DFS was not influenced by comorbidities, indicating that a proper treatment should be delivered as much as possible, even in elderly patients with comorbidities (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>Another study focused on the influence of age and comorbidities on the outcome using the Age-Adjusted Charlson Comorbidity Index (ACCI) scoring system on a series of 109 patients with a median age of 69 years, treated for major SGCs. Comorbidities, but not age, were an independent prognostic factor for both OS and disease-specific survival (<xref ref-type="bibr" rid="B19">19</xref>). A Danish study performed in 871 patients with SGC treated between 1990 and 2005, reported a poorer survival in the population group over 70 years old (n=282), possibly explained by the more advanced disease stages, poorer performance status at the time of diagnosis, more high-grade histological subtypes such as adenocarcinoma not otherwise specified (NOS) and carcinoma ex-pleomorphic adenoma (ca ex-PA). Despite these aggressive clinical features, elderly patients received surgery plus RT only in 45% of cases, while 54% received a suboptimal active treatment, either surgery alone (38%) or exclusive RT (10%), or best supportive care (6%) (<xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>Malignant tumors of the major salivary glands (MSG) can be found in 15-32% of parotid, 41-45% of submandibular and 70-90% of sublingual masses. The minor salivary glands (mSG) are located beneath the mucosa of the oral cavity, palate, paranasal sinuses, pharynx, larynx, trachea and bronchi, mostly concentrated in the buccal, labial, palatal, and lingual regions. Almost 50% of the tumors arising from mSG are malignant (<xref ref-type="bibr" rid="B21">21</xref>). The staging of MSG is currently based on the 8<sup>th</sup> edition of the American Joint Committee on Cancer/Union for International Cancer Control (AJCC/UICC) tumor/node/metastasis (TNM) System, while mSGCs are staged according to the AJCC/UICC system for the primary site (<xref ref-type="bibr" rid="B22">22</xref>). In patients with a suspicion of SGC, the ASCO Guidelines recommend performing an imaging workup including neck ultrasound, computed tomography (CT) with intravenous contrast, and/or magnetic resonance imaging (MRI) of the neck and primary site (Recommendation 1.1) (<xref ref-type="bibr" rid="B17">17</xref>). An MRI with diffusion sequence of the neck and skull base is recommended in case of suspicious perineural spread and/or skull base involvement (R1.3), and an MRI brain scan could be considered in case of high-grade SGCs or if suspected meningeal spread. A CT scan should be performed in case of possible involvement of the adjacent bone (R1.2). An FDG-PET/CT scan from the skull base to mid-thighs may be performed for tumors with high-grade features, while in low-grade histological subtypes it could deliver false negative results (R1.4). For locoregionally advanced cases, a contrast-enhanced chest-abdomen CT scan is recommended to complete the clinical staging. Intracranial metastases are infrequent at diagnosis; however, they may occur especially in case of high-grade SGC (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>Beside the multiplicity of anatomical subsites, SGCs harbor a wide heterogeneity of histologies, which are associated to different age incidence, clinical behavior, treatments and prognosis. Each glandular segment can be the site of origin of SGCs (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The WHO 2017 Classification of Salivary Gland Tumors (4<sup>th</sup> Edition) classified more than 20 malignant subtypes of epithelial SGCs, including a new entity, the secretory carcinoma (SC), formerly known as mammary analogue SC (MASC) (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Moreover, the recently released Armed Forces Institute of Pathology (AFIP) Atlas of SGC Tumor Pathology provides an indepth analysis of the morphological and molecular features of both benign and malignant salivary gland tumors (<xref ref-type="bibr" rid="B26">26</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The most frequent histotypes of salivary gland cancers stratified according to the glandular portion of origin and the prevalent grading (*low grade; ** high grade; */** either low- or high-grade histology). Graphic created with <uri xlink:href="https://BioRender.com">BioRender.com</uri>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-1032471-g001.tif"/>
</fig>
<p>Recently, the molecular landscape of SGCs has been explored by comprehensive genomic profiling, opening this complex disease to the possibilities of targeted therapy (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). Molecular alterations found in SGCs include amplifications, mutations or rearrangements of transmembrane receptors (<italic>ERBB2, FGFR, PDGFR, RET</italic>), mTOR pathway (<italic>PIK3CA, PTEN</italic>) and MAPK pathway (<italic>BRAF, HRAS</italic>), DNA repair (<italic>BRCA1/2</italic>), cycle cell regulation (<italic>CDKN2A/B, SMARCB1</italic>) and activation of androgen-responsive genes by the androgen receptor (AR). Interestingly, the upregulation of <italic>ERBB2</italic>/<italic>PIK3CA</italic> pathways is more frequently observed in high-grade than in low-grade SGCs (<xref ref-type="bibr" rid="B27">27</xref>). However, certain histotypes can encompass both low-grade and high-grade forms, as in the case of polymorphous adenocarcinoma (PAC), previously known as polymorphous low-grade adenocarcinoma (PLGA); in the last 2017 WHO classification of Head and Neck tumors, both the classic variant of PLGA and aggressive cribriform adenocarcinoma of minor salivary glands (CAMSG), were incorporated under the PAC category. Interestingly, both the variants harbor in the majority of cases an alteration of <italic>PRKD</italic> genes codifying for Serine/Threonine-Protein Kinase D1, most frequently mutations in the classic PAC variant and rearrangements in CAMSG (<xref ref-type="bibr" rid="B29">29</xref>). Certain key rearrangements, such as <italic>MYB-NFIB</italic>, <italic>NR4A3</italic>, <italic>PLAG1</italic>, <italic>ETV6-NTRK/RET</italic>, <italic>CRTC1-MAML2</italic> are typical of certain histotypes, and may help pathologists in the diagnosis of challenging cases (<xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Common molecular alterations of the most frequent types of SGCs.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">SGC Histotype</th>
<th valign="top" align="center">Grade</th>
<th valign="top" align="center">Mutations[% cases]</th>
<th valign="top" align="center">Gene fusions/amplifications</th>
<th valign="top" align="center">Chromosomal alterations</th>
<th valign="top" align="center">Ref.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Myoepithelial carcinoma (MyoEpi)</td>
<td valign="top" rowspan="2" align="left">Low</td>
<td valign="top" align="left">
<bold>
<italic>CDKN2A</italic> [25]</bold>
<break/>
<bold>
<italic>HRAS</italic> [20-25]</bold>
<break/>
<bold>
<italic>CDKN2B</italic> [25]</bold>
<break/>
<bold>
<italic>PIK3CA</italic> [15]</bold>
<break/>
<bold>
<italic>RICTOR</italic> [15]</bold>
<break/>
<bold>
<italic>NOTCH1</italic> [15]</bold>
<break/>
<bold>
<italic>PTCH1</italic> [10]</bold>
<break/>
<bold>
<italic>PDGFRB</italic> [5]</bold>
<break/>
<bold>
<italic>FGFR2</italic> [5]</bold>
</td>
<td valign="top" align="center">
<bold>
<italic>PLAG1</italic> [26]</bold>
<break/>&#x2022;&#x2003;<italic>LIFR-PLAG1</italic>
<break/>&#x2022;&#x2003;<italic>CTNNB1-PLAG1</italic>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B31">31</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Secretory carcinoma (SC),<break/>formerly mammary analogue SC (MASC)</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="center">
<bold>
<italic>ETV6-NTRK</italic>
</bold>
<break/>
<bold>
<italic>ETV6-RET</italic>
</bold>
<break/>
<bold>
<italic>VIM-RET</italic>
</bold>
<break/>
<bold>
<italic>ETV6-MET</italic>
</bold>
</td>
<td valign="top" align="center">t(12; 15)<break/>t(12; X)</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B33">33</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Acinic cell carcinoma<break/>(AcCC)</td>
<td valign="top" align="left">Low/<break/>High (rare)</td>
<td valign="top" align="left">
<bold>
<italic>CDKN2A</italic> [75]</bold>
<break/>
<bold>
<italic>CDKN2B</italic> [45]</bold>
<break/>
<bold>
<italic>PTEN</italic> [10]</bold>
<break/>
<bold>
<italic>HRAS</italic> [5]</bold>
<break/>
<bold>
<italic>BRAF</italic> [5]</bold>
</td>
<td valign="top" align="center">
<italic>
<bold>NR4A3</bold>
</italic> upregulation</td>
<td valign="top" align="center">t(4; 9)</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B37">37</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Adenoid cystic carcinoma (AdCC)</td>
<td valign="top" align="left">Low/<break/>High (rare)</td>
<td valign="top" align="left">
<bold>
<italic>NOTCH</italic> [25]</bold>
<break/>
<bold>
<italic>PIK3CA</italic> [5]</bold>
<break/>
<bold>
<italic>PDGFRA</italic> [5]</bold>
<break/>
<bold>
<italic>CDKN2A</italic> [5]</bold>
<break/>
<bold>
<italic>RET</italic> [&lt;5]</bold>
<break/>
<bold>
<italic>FGFR2</italic> [&lt;5]</bold>
</td>
<td valign="top" align="center">
<italic>MYB-NFIB</italic> [60-80]<break/>
<italic>MYBL1-NFIB</italic>
</td>
<td valign="top" align="center">t(6; 9)<break/>t(8; 9)</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B38">38</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Polymorphous adenocarcinoma (PAC)</td>
<td valign="top" align="left">Low/<break/>High (rare)</td>
<td valign="top" align="left">
<bold>
<italic>PRKD1</italic> [80]</bold>
<break/>
<bold>
<italic>FGFR1</italic> [20]</bold>
<break/>
<bold>
<italic>PTEN</italic> [20]</bold>
<break/>
<bold>
<italic>TSC2</italic> [20]</bold>
</td>
<td valign="top" align="center">
<italic>PRKD1/2/3</italic>
<break/>&#x2022;&#x2003;<italic>ARID1A-PRKD1</italic>
<break/>&#x2022;&#x2003;<italic>DDX3X-PRKD1</italic>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B27">27</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Mucoepidermoid carcinoma (MEC)</td>
<td valign="top" rowspan="4" align="left">High</td>
<td valign="top" align="left">
<bold>
<italic>CDKN2A</italic> [45]</bold>
<break/>
<bold>
<italic>PIK3CA</italic> [20]</bold>
<break/>
<bold>
<italic>HRAS</italic> [10]</bold>
<break/>
<bold>
<italic>BRCA1</italic>/2 [10]</bold>
<break/>
<bold>
<italic>FGFR1</italic> [5-10]</bold>
<break/>
<bold>
<italic>PTEN</italic> [5-10]</bold>
<break/>
<bold>
<italic>BRAF</italic> [5]</bold>
</td>
<td valign="top" align="center">
<bold>
<italic>CRTC1-MAML2</italic>
</bold>
<break/>
<bold>
<italic>CRTC3-MAML2</italic>
</bold>
<break/>
<bold>
<italic>EWSR1-POU5F1</italic>
</bold>
<break/>
<italic>
<bold>ERBB2</bold>
</italic> ampl. [10]</td>
<td valign="top" align="center">t(11; 15)<break/>t(11; 19)<break/>t(6; 22)<break/>17q21.1</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Salivary duct carcinoma<break/>(SDC)</td>
<td valign="top" align="left">
<bold>
<italic>PIK3CA</italic> [25]</bold>
<break/>
<bold>
<italic>HRAS</italic> [20]</bold>
<break/>
<bold>
<italic>CDKN2A</italic> [15]</bold>
<break/>
<bold>
<italic>PTEN</italic> [15]</bold>
<break/>
<bold>
<italic>BRAF</italic> [5-10]</bold>
<break/>
<bold>
<italic>BRCA1</italic>/2 [5]</bold>
</td>
<td valign="top" align="center">
<italic>
<bold>ERBB2</bold>
</italic> ampl. [30]<break/>
<italic>
<bold>AR</bold>
</italic> ampl.</td>
<td valign="top" align="center">17q21.1</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B27">27</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Adenocarcinoma, NOS<break/>(AD-NOS)</td>
<td valign="top" align="left">
<bold>
<italic>PIK3CA</italic> [25]</bold>
<break/>
<bold>
<italic>HRAS</italic> [20]</bold>
<break/>
<bold>
<italic>CDKN2A</italic> [15]</bold>
<break/>
<bold>
<italic>PTEN</italic> [10-15]</bold>
<break/>
<bold>
<italic>RET</italic> [5-10]</bold>
<break/>
<bold>
<italic>BRAF</italic> [5-10]</bold>
</td>
<td valign="top" align="center">
<italic>
<bold>ERBB2</bold>
</italic> ampl. [15]<break/>
<italic>AR</italic> ampl.</td>
<td valign="top" align="center">17q21.1</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B27">27</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Carcinoma ex pleomorphic adenoma<break/>(ca ex-PA)</td>
<td valign="top" align="left">
<bold>
<italic>PTEN</italic> [10-15]</bold>
<break/>
<bold>
<italic>FGFR1</italic> [10]</bold>
<break/>
<bold>
<italic>FGFR2</italic> [10]</bold>
<break/>
<bold>
<italic>SMARCB1</italic> [10]</bold>
<break/>
<bold>
<italic>NOTCH1</italic> [10]</bold>
<break/>
<bold>
<italic>BRCA1</italic> [5]</bold>
</td>
<td valign="top" align="center">
<italic>
<bold>ERBB2</bold>
</italic> ampl. [30]<break/>
<italic>
<bold>PLAG1</bold>
</italic>
<break/>&#x2022;&#x2003;<italic>FGFR1-PLAG1</italic>
<break/>&#x2022;&#x2003;<italic>CTNNB1-PLAG1</italic>
<break/>&#x2022;&#x2003;<italic>CHCHD7-PLAG1</italic>
</td>
<td valign="top" align="center">17q21.1</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B32">32</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The most frequent high-grade histotypes are mucoepidermoid carcinoma (MEC), salivary duct carcinoma (SDC), adenocarcinoma NOS (AD-NOS) and carcinoma ex-pleomorphic adenoma (ca ex-PA). Low-grade histotypes include adenoid cystic carcinoma (AdCC), acinic cell carcinoma (AcCC), myoepithelial carcinoma (MyoEpi), and SC (previously MASC). However, both AdCC and AcCC may develop a high-grade transformation by dedifferentiation, and this phenomenon has been described also in elderly patients (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<p>Tumor grading is directly related to the disease aggressiveness, and it is of utmost interest to capture the age distribution of the commonest types of SGCs. As reported in the AFIP Atlas, certain histotypes are more frequently diagnosed in the 6<sup>th</sup> decade and beyond, especially SDC, AcCC with high-grade transformation, MyoEpi, basal cell adenocarcinoma, primary squamous cell carcinoma (SCC), large cell undifferentiated carcinoma, epithelial-myoepithelial carcinoma, and carcinosarcoma (<xref ref-type="bibr" rid="B26">26</xref>).</p>
</sec>
<sec id="s2">
<title>2 Epidemiology</title>
<p>For the purpose of this review, we report the age-stratified incidence of epithelial SGCs using the Surveillance, Epidemiology, and End Results (SEER) Program database provided by the U.S.A. National Cancer Institute&#x2019;s Division of Cancer Control and Population Sciences (<xref ref-type="bibr" rid="B39">39</xref>). We selected the cases diagnosed between 2011 and 2018 and retrieved from the updated dataset of the SEER Program based on 18 registries from 13 States (88.816.582 inhabitants). SGCs cases were defined using a combination of the International Classification of Diseases for Oncology (ICD-O) morphology and topography codes (<xref ref-type="bibr" rid="B40">40</xref>), as proposed by the RARECAREnet project (<xref ref-type="bibr" rid="B5">5</xref>). The SGCs included in the SEER database were divided into two groups:</p>
<p>1 - malignant epithelial tumors of the major salivary glands (MSG);</p>
<p>2 - malignant epithelial salivary glands tumors other than MSG (SGT).</p>
<p>In both groups we report the incidence and 5-year survival (%) by morphology codes, stage at diagnosis and age groups (0-65y and 65y+) (<xref ref-type="table" rid="T2">
<bold>Tables&#xa0;2</bold>
</xref>&#x2013;<xref ref-type="table" rid="T4">
<bold>4</bold>
</xref>). The methods used for the calculation of the frequency (incidence) and outcome (relative survival) were provided by the SEERStat program. The number of new diagnoses made in one year for each specific population of cases (incidence) was expressed in annual rate, defined as the number of cases on 100,000 inhabitants per year. The relative survival is the ratio between life expectancy of the cohort of cases affected by cancer and the life expectancy of the population of cases. It is the closest estimation of cause-specific survival in clinical studies.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Incidence rates of SGCs per 100.000 people, frequency and number by age and histotype. a) Major salivary glands tumors (MSG); b) HN salivary glands tumors (SGT) other than MSG. Period of diagnosis 2011-2018.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Histotype</th>
<th valign="top" colspan="4" align="center">0&#x2013;65y</th>
<th valign="top" colspan="4" align="center">65y+</th>
<th valign="top" colspan="2" align="center">Total</th>
</tr>
<tr>
<th valign="top" align="left">a &#x2013; Major Salivary Gland (MSG) Tumors</th>
<th valign="top" align="center">Count</th>
<th valign="top" colspan="2" align="center">Rate</th>
<th valign="top" align="center">%</th>
<th valign="top" colspan="2" align="center">Count</th>
<th valign="top" align="center">Rate</th>
<th valign="top" align="center">%</th>
<th valign="top" align="center">Count</th>
<th valign="top" align="center">Rate</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Neoplasms NOS*</td>
<td valign="top" align="center">257</td>
<td valign="top" colspan="2" align="center">0,042</td>
<td valign="top" align="center">6%</td>
<td valign="top" colspan="2" align="center">605</td>
<td valign="top" align="center">0,623</td>
<td valign="top" align="center">12%</td>
<td valign="top" align="center">862</td>
<td valign="top" align="center">0,121</td>
</tr>
<tr>
<td valign="top" align="left">SCC</td>
<td valign="top" align="center">456</td>
<td valign="top" colspan="2" align="center">0,074</td>
<td valign="top" align="center">10%</td>
<td valign="top" colspan="2" align="center">1645</td>
<td valign="top" align="center">1,695</td>
<td valign="top" align="center">32%</td>
<td valign="top" align="center">2101</td>
<td valign="top" align="center">0,296</td>
</tr>
<tr>
<td valign="top" align="left">AD-NOS</td>
<td valign="top" align="center">466</td>
<td valign="top" colspan="2" align="center">0,076</td>
<td valign="top" align="center">10%</td>
<td valign="top" colspan="2" align="center">669</td>
<td valign="top" align="center">0,689</td>
<td valign="top" align="center">13%</td>
<td valign="top" align="center">1135</td>
<td valign="top" align="center">0,160</td>
</tr>
<tr>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="center">520</td>
<td valign="top" colspan="2" align="center">0,085</td>
<td valign="top" align="center">11%</td>
<td valign="top" colspan="2" align="center">371</td>
<td valign="top" align="center">0,382</td>
<td valign="top" align="center">7%</td>
<td valign="top" align="center">891</td>
<td valign="top" align="center">0,125</td>
</tr>
<tr>
<td valign="top" align="left">MEC</td>
<td valign="top" align="center">1355</td>
<td valign="top" colspan="2" align="center">0,221</td>
<td valign="top" align="center">30%</td>
<td valign="top" colspan="2" align="center">738</td>
<td valign="top" align="center">0,760</td>
<td valign="top" align="center">14%</td>
<td valign="top" align="center">2093</td>
<td valign="top" align="center">0,295</td>
</tr>
<tr>
<td valign="top" align="left">SDC</td>
<td valign="top" align="center">253</td>
<td valign="top" colspan="2" align="center">0,041</td>
<td valign="top" align="center">6%</td>
<td valign="top" colspan="2" align="center">234</td>
<td valign="top" align="center">0,241</td>
<td valign="top" align="center">5%</td>
<td valign="top" align="center">487</td>
<td valign="top" align="center">0,069</td>
</tr>
<tr>
<td valign="top" align="left">AcCC</td>
<td valign="top" align="center">726</td>
<td valign="top" colspan="2" align="center">0,118</td>
<td valign="top" align="center">16%</td>
<td valign="top" colspan="2" align="center">288</td>
<td valign="top" align="center">0,297</td>
<td valign="top" align="center">6%</td>
<td valign="top" align="center">1014</td>
<td valign="top" align="center">0,143</td>
</tr>
<tr>
<td valign="top" align="left">Epi-MyoEpi</td>
<td valign="top" align="center">94</td>
<td valign="top" colspan="2" align="center">0,015</td>
<td valign="top" align="center">2%</td>
<td valign="top" colspan="2" align="center">130</td>
<td valign="top" align="center">0,134</td>
<td valign="top" align="center">3%</td>
<td valign="top" align="center">224</td>
<td valign="top" align="center">0,032</td>
</tr>
<tr>
<td valign="top" align="left">Ca ex-PA</td>
<td valign="top" align="center">175</td>
<td valign="top" colspan="2" align="center">0,029</td>
<td valign="top" align="center">4%</td>
<td valign="top" colspan="2" align="center">176</td>
<td valign="top" align="center">0,181</td>
<td valign="top" align="center">3%</td>
<td valign="top" align="center">351</td>
<td valign="top" align="center">0,049</td>
</tr>
<tr>
<td valign="top" align="left">Malignant myoepithelioma</td>
<td valign="top" align="center">75</td>
<td valign="top" colspan="2" align="center">0,012</td>
<td valign="top" align="center">2%</td>
<td valign="top" colspan="2" align="center">90</td>
<td valign="top" align="center">0,093</td>
<td valign="top" align="center">2%</td>
<td valign="top" align="center">165</td>
<td valign="top" align="center">0,023</td>
</tr>
<tr>
<td valign="top" align="left">Other histotypes</td>
<td valign="top" align="center">187</td>
<td valign="top" colspan="2" align="center">0,030</td>
<td valign="top" align="center">4%</td>
<td valign="top" colspan="2" align="center">212</td>
<td valign="top" align="center">0,218</td>
<td valign="top" align="center">4%</td>
<td valign="top" align="center">399</td>
<td valign="top" align="center">0,056</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Total</bold>
</td>
<td valign="top" align="center">4564</td>
<td valign="top" colspan="2" align="center">0,744</td>
<td valign="top" align="center">100%</td>
<td valign="top" colspan="2" align="center">5158</td>
<td valign="top" align="center">5,315</td>
<td valign="top" align="center">100%</td>
<td valign="top" align="center">9722</td>
<td valign="top" align="center">1,368</td>
</tr>
<tr>
<th valign="top" colspan="11" align="left">b &#x2013; Salivary Gland Tumors (SGT) excluding MSG</th>
</tr>
<tr>
<td valign="top" align="left">AD-NOS</td>
<td valign="top" align="center">236</td>
<td valign="top" align="center" colspan="2">0,038</td>
<td valign="top" align="center">12%</td>
<td valign="top" align="center" colspan="2">257</td>
<td valign="top" align="center">0,265</td>
<td valign="top" align="center">21%</td>
<td valign="top" align="center">493</td>
<td valign="top" align="center">0,069</td>
</tr>
<tr>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="center">553</td>
<td valign="top" align="center" colspan="2">0,090</td>
<td valign="top" align="center">29%</td>
<td valign="top" align="center" colspan="2">362</td>
<td valign="top" align="center">0,373</td>
<td valign="top" align="center">29%</td>
<td valign="top" align="center">915</td>
<td valign="top" align="center">0,129</td>
</tr>
<tr>
<td valign="top" align="left">Clear cell adenocarcinoma, NOS</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center" colspan="2">0,008</td>
<td valign="top" align="center">2%</td>
<td valign="top" align="center" colspan="2">24</td>
<td valign="top" align="center">0,025</td>
<td valign="top" align="center">2%</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">0,010</td>
</tr>
<tr>
<td valign="top" align="left">MEC</td>
<td valign="top" align="center">727</td>
<td valign="top" align="center" colspan="2">0,119</td>
<td valign="top" align="center">38%</td>
<td valign="top" align="center" colspan="2">328</td>
<td valign="top" align="center">0,338</td>
<td valign="top" align="center">27%</td>
<td valign="top" align="center">1055</td>
<td valign="top" align="center">0,148</td>
</tr>
<tr>
<td valign="top" align="left">PAC</td>
<td valign="top" align="center">193</td>
<td valign="top" align="center" colspan="2">0,031</td>
<td valign="top" align="center">10%</td>
<td valign="top" align="center" colspan="2">140</td>
<td valign="top" align="center">0,144</td>
<td valign="top" align="center">11%</td>
<td valign="top" align="center">333</td>
<td valign="top" align="center">0,047</td>
</tr>
<tr>
<td valign="top" align="left">AcCC</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center" colspan="2">0,007</td>
<td valign="top" align="center">2%</td>
<td valign="top" align="center" colspan="2">14</td>
<td valign="top" align="center">0,014</td>
<td valign="top" align="center">1%</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">0,008</td>
</tr>
<tr>
<td valign="top" align="left">Other histotypes</td>
<td valign="top" align="center">125</td>
<td valign="top" align="center" colspan="2">0,020</td>
<td valign="top" align="center">7%</td>
<td valign="top" align="center" colspan="2">105</td>
<td valign="top" align="center">0,108</td>
<td valign="top" align="center">9%</td>
<td valign="top" align="center">230</td>
<td valign="top" align="center">0,032</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Total</bold>
</td>
<td valign="top" align="center">1922</td>
<td valign="top" align="center" colspan="2">0,313</td>
<td valign="top" align="center">100%</td>
<td valign="top" align="center" colspan="2">1230</td>
<td valign="top" align="center">1,267</td>
<td valign="top" align="center">100%</td>
<td valign="top" align="center">3152</td>
<td valign="top" align="center">0,444</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*NOS, not otherwise specified (ICD morphology codes 8000-8010).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Five-years relative survival rates (5y-RS) by age and histotype for a) major salivary glands tumors (MSG), b) Salivary glands type tumors (SGT) other than MSG. .</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Histotypes</th>
<th valign="top" align="center">All ages</th>
<th valign="top" align="center">0&#x2013;65y</th>
<th valign="top" align="center">65y+</th>
<th valign="top" align="center">Delta</th>
</tr>
<tr>
<th valign="top" align="left">a &#x2013; MSG</th>
<th valign="top" align="left">
</th>
<th valign="top" align="left">
</th>
<th valign="top" align="left">
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Neoplasms NOS*</td>
<td valign="top" align="center">43%</td>
<td valign="top" align="center">60%</td>
<td valign="top" align="center">34%</td>
<td valign="top" align="center">-26%</td>
</tr>
<tr>
<td valign="top" align="left">SCC</td>
<td valign="top" align="center">44%</td>
<td valign="top" align="center">53%</td>
<td valign="top" align="center">45%</td>
<td valign="top" align="center">-8%</td>
</tr>
<tr>
<td valign="top" align="left">AD-NOS</td>
<td valign="top" align="center">64%</td>
<td valign="top" align="center">71%</td>
<td valign="top" align="center">57%</td>
<td valign="top" align="center">-14%</td>
</tr>
<tr>
<td valign="top" align="left">BCA</td>
<td valign="top" align="center">98%</td>
<td valign="top" align="center">100%</td>
<td valign="top" align="center">93%</td>
<td valign="top" align="center">-7%</td>
</tr>
<tr>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="center">77%</td>
<td valign="top" align="center">80%</td>
<td valign="top" align="center">72%</td>
<td valign="top" align="center">-8%</td>
</tr>
<tr>
<td valign="top" align="left">MEC</td>
<td valign="top" align="center">89%</td>
<td valign="top" align="center">93%</td>
<td valign="top" align="center">78%</td>
<td valign="top" align="center">-15%</td>
</tr>
<tr>
<td valign="top" align="left">SDC</td>
<td valign="top" align="center">64%</td>
<td valign="top" align="center">60%</td>
<td valign="top" align="center">68%</td>
<td valign="top" align="center">8%</td>
</tr>
<tr>
<td valign="top" align="left">SC (ex MASC)</td>
<td valign="top" align="center">97%</td>
<td valign="top" align="center">96%</td>
<td valign="top" align="center">96%</td>
<td valign="top" align="center">0%</td>
</tr>
<tr>
<td valign="top" align="left">AcCC</td>
<td valign="top" align="center">93%</td>
<td valign="top" align="center">94%</td>
<td valign="top" align="center">89%</td>
<td valign="top" align="center">-5%</td>
</tr>
<tr>
<td valign="top" align="left">Epi-MyoEpi</td>
<td valign="top" align="center">97%</td>
<td valign="top" align="center">95%</td>
<td valign="top" align="center">97%</td>
<td valign="top" align="center">2%</td>
</tr>
<tr>
<td valign="top" align="left">Ca ex-PA</td>
<td valign="top" align="center">83%</td>
<td valign="top" align="center">79%</td>
<td valign="top" align="center">86%</td>
<td valign="top" align="center">7%</td>
</tr>
<tr>
<td valign="top" align="left">Malignant myoepithelioma</td>
<td valign="top" align="center">85%</td>
<td valign="top" align="center">83%</td>
<td valign="top" align="center">86%</td>
<td valign="top" align="center">3%</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Total</bold>
</td>
<td valign="top" align="center">72%</td>
<td valign="top" align="center">82%</td>
<td valign="top" align="center">61%</td>
<td valign="top" align="center">-21%</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
<bold>b - SGT</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">AD-NOS</td>
<td valign="top" align="center">71%</td>
<td valign="top" align="center">76%</td>
<td valign="top" align="center">64%</td>
<td valign="top" align="center">-12%</td>
</tr>
<tr>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="center">78%</td>
<td valign="top" align="center">81%</td>
<td valign="top" align="center">73%</td>
<td valign="top" align="center">-8%</td>
</tr>
<tr>
<td valign="top" align="left">Clear cell adenocarcinoma, NOS</td>
<td valign="top" align="center">90%</td>
<td valign="top" align="center">83%</td>
<td valign="top" align="center">100%</td>
<td valign="top" align="center">17%</td>
</tr>
<tr>
<td valign="top" align="left">MEC</td>
<td valign="top" align="center">93%</td>
<td valign="top" align="center">95%</td>
<td valign="top" align="center">84%</td>
<td valign="top" align="center">-11%</td>
</tr>
<tr>
<td valign="top" align="left">PAC</td>
<td valign="top" align="center">99%</td>
<td valign="top" align="center">98%</td>
<td valign="top" align="center">99%</td>
<td valign="top" align="center">1%</td>
</tr>
<tr>
<td valign="top" align="left">AcCC</td>
<td valign="top" align="center">94%</td>
<td valign="top" align="center">97%</td>
<td valign="top" align="center">81%</td>
<td valign="top" align="center">-16%</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Total</bold>
</td>
<td valign="top" align="center">86%</td>
<td valign="top" align="center">89%</td>
<td valign="top" align="center">81%</td>
<td valign="top" align="center">-8%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Years of diagnosis: 2011-2018. The histotypes with the broadest survival delta between elderly and younger populations are highlighted in red color.</p>
</fn>
<fn>
<p>*neoplasms not otherwise specified =ICD morphology codes 8000-8010.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Five-years relative survival (5y-RS) after MSG and SGT diagnoses, stratified by age (0&#x2013;65y vs 65y+) and extent of disease (localized, locoregional, metastatic, unknown) expressed in raw numbers and in percentage on the total number of cases.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Extent of Disease</th>
<th valign="top" colspan="3" align="center">All ages</th>
<th valign="top" colspan="3" align="center">0&#x2013;65y</th>
<th valign="top" colspan="3" align="center">65y+</th>
<th valign="top" align="center">Delta5y-RS</th>
</tr>    <tr>
<th valign="top" align="left">MSG</th>
<th valign="top" align="center">N</th>
<th valign="top" align="center">cases (%)</th>
<th valign="top" align="center">5y-RS (%)</th>
<th valign="top" align="center">N</th>
<th valign="top" align="center">cases (%)</th>
<th valign="top" align="center">5y-RS (%)</th>
<th valign="top" align="center">N</th>
<th valign="top" align="center">cases (%)</th>
<th valign="top" align="center">5y-RS (%)</th>
<th valign="top" align="center"/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Localized</td>
<td valign="top" align="center">3408</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">93.9</td>
<td valign="top" align="center">2123</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">96.8</td>
<td valign="top" align="center">1285</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">88.5</td>
<td valign="top" align="center">-8.3</td>
</tr>
<tr>
<td valign="top" align="left">Locoregional</td>
<td valign="top" align="center">2051</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">65.0</td>
<td valign="top" align="center">918</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">
<bold>75.9</bold>
</td>
<td valign="top" align="center">1133</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">
<bold>54.7</bold>
</td>
<td valign="top" align="center">
<bold>-21.2</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Metastatic</td>
<td valign="top" align="center">1291</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">35.4</td>
<td valign="top" align="center">572</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">
<bold>42.5</bold>
</td>
<td valign="top" align="center">719</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">
<bold>28.8</bold>
</td>
<td valign="top" align="center">
<bold>-13.7</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="center">381</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">55.0</td>
<td valign="top" align="center">143</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">
<bold>70.0</bold>
</td>
<td valign="top" align="center">238</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">
<bold>44.2</bold>
</td>
<td valign="top" align="center">
<bold>-25.8</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Total cases</bold>
</td>
<td valign="top" align="center">7131</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">72.4</td>
<td valign="top" align="center">3756</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">81.5</td>
<td valign="top" align="center">3375</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">61.3</td>
<td valign="top" align="center">-20.2</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>SGT</bold>
</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Localized</td>
<td valign="top" align="center">1346</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">99.2</td>
<td valign="top" align="center">902</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">99.7</td>
<td valign="top" align="center">444</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">97.9</td>
<td valign="top" align="center">-1.8</td>
</tr>
<tr>
<td valign="top" align="left">Locoregional</td>
<td valign="top" align="center">622</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">79.0</td>
<td valign="top" align="center">400</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">82.2</td>
<td valign="top" align="center">222</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">73.0</td>
<td valign="top" align="center">-9.2</td>
</tr>
<tr>
<td valign="top" align="left">Metastatic</td>
<td valign="top" align="center">428</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">53.6</td>
<td valign="top" align="center">280</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">
<bold>63.2</bold>
</td>
<td valign="top" align="center">148</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">
<bold>34.3</bold>
</td>
<td valign="top" align="center">
<bold>-28.9</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="center">174</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">81.8</td>
<td valign="top" align="center">107</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">
<bold>90.6</bold>
</td>
<td valign="top" align="center">67</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">
<bold>64.6</bold>
</td>
<td valign="top" align="center">
<bold>-26.0</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Total cases</bold>
</td>
<td valign="top" align="center">1346</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">99.2</td>
<td valign="top" align="center">902</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">99.7</td>
<td valign="top" align="center">444</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">97.9</td>
<td valign="top" align="center">-1.8</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In comparison with 0-65y subgroup, in the 65y+ the incidence rates were 4 and 7 times higher for SGT and MSG, respectively. Focusing on the histotypes, AcCC, MEC and AdCC of SGT were more frequently diagnosed in the 0-64y cohort, while SCC were more common in elderly patients with MSG. Moreover, the neoplasms NOS of MSG and AD-NOS of SGT were more commonly diagnosed in the elderly, compared with younger patients (70% vs 30%) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<p>In the SEER dataset population, the overall 5-years survival rates were significantly better in young than in elderly subjects: the survival rates after MSG and SGT diagnoses were 82% and 89% in the 0-65y group, 61% and 81% in the 65y+ group. Interestingly, the worst outcomes were reported for elderly patients with MSG. The 5-years survival rate was lower for elderly patients in the majority of histotypes, especially in neoplasms NOS (34%), AD-NOS (57%), MEC (78%) of the MSGs and AcCC (81%) of the SGT (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). The differences in survival outcomes observed between the two age groups may be partially explained by a higher proportion of histotypes with favorable prognosis in the 0-65y group, compared to the 65y+ (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<p>Almost half of SGC cases from the SEER dataset presented at diagnosis with localised disease, without significant differences between MSG and SGT (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Elderly patients were diagnosed more frequently at a metastatic stage, and the 5-year survival for each stage was lower in the elderly subgroup. Focusing on the cases with available staging, the greatest difference between age subgroups could be observed for locoregional disease in MSG, where the multidisciplinary team is crucial to define an optimal management.</p>
</sec>
<sec id="s3">
<title>3 Surgery</title>
<sec id="s3_1">
<title>3.1 State-of-the-art of surgical treatment</title>
<p>There is broad consensus that patients with resectable SGCs need surgery as an essential keystone to achieve cure. Depending on the postoperative pathological findings, the majority of patients need postoperative RT to maximize the chance of cure (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B44">44</xref>). Regardless of age, the patients unfit for surgery and those where surgery is not expected to remove all the macroscopic disease are candidate to primary curative or palliative RT.</p>
<p>Independent prognostic factors for survival outcomes following locoregional SGC treatments have been well studied and validated in previous works (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>). Independently of the treatment modality, poor outcomes are seen with increasing TNM Stage (reflecting anatomical tumor extension and facial nerve function), higher histological grade, and surgical margins involvement. Increasing age is associated with more advanced stage tumors and more aggressive/high-grade histologies, where free surgical margins are more difficult to obtain. These features occur more frequently in elderly patients, and both biological age and comorbidities are negative prognostic factors (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B47">47</xref>). Therefore, the most challenging SGCs occur in elderly patients (especially 70y+), who should receive a resection with free margins (R0), but often surgeons and the MDT may hesitate to recommend this important part of the curative treatment because of advanced age, decreased coping mechanisms and comorbidities.</p>
</sec>
<sec id="s3_2">
<title>3.2 Surgical approach in the elderly patient: biological age versus chronological age</title>
<p>The surgical anatomy of SGs is complex and resection can seriously interfere with vital functions such as speech and swallowing, leading to potentially major functional impact. Thus, it is important to tailor the treatment to the patient (<xref ref-type="bibr" rid="B17">17</xref>). Elderly patients, even when apparently still functioning well, are marked by a lower reserve of physiological resources to cope with a surgical treatment and its expected consequences. Frailty is a continuous variable; it reflects the general physical and mental conditions and is directly related to the &#x201c;biological age&#x201d; (<xref ref-type="bibr" rid="B48">48</xref>&#x2013;<xref ref-type="bibr" rid="B50">50</xref>). For patients affected by HNC, chronological age is not an absolute contraindication for surgery, as it is not strictly associated with major complications. Nevertheless, comorbidities are important predictors of outcome and should be taken into account by the MDT (<xref ref-type="bibr" rid="B51">51</xref>). The G8 questionnaire is a valid screening tool to identify elderly patients who need a comprehensive geriatric assessment, leading to an intensified perioperative care (<xref ref-type="bibr" rid="B48">48</xref>&#x2013;<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B52">52</xref>). An impaired G8 score (&#x2264; 14) predicts a prolonged hospital stay, higher risk of delirium and 1-year mortality (<xref ref-type="bibr" rid="B53">53</xref>).</p>
<p>Usually, patients with SGC do not present the same risk factors as the population with HNSCC, such as smoke habit and/or alcohol consumption; at equal chronological age, they have lower biological age, they are less frail and have lower ACE-27 scores (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B48">48</xref>). This translates in a limited role of chronological age in the decision-making process for the elderly patient with SGC, in comparison with the typical HNSCC patient, and less restraint to offer surgery. The feasibility of this approach was proven by a large Dutch cohort where OS, as expected, depended on the ACE-27 score, but DFS did not, meaning that elderly patients with comorbidities received largely the same treatment as the other patients, and had a comparable chance for cure (<xref ref-type="bibr" rid="B18">18</xref>). Furthermore, a recent study on the effect of the Age Adjusted Charlson Comorbidity Index (ACCI), incorporating chronological age in the Comorbidity score), in patients with SGCs found that comorbidity did not influence the extent of cancer therapy, and 97% of patients had surgery as initial treatment in this cohort. Patients with a high ACCI score (&gt; 4) in this study had worse oncological and survival outcomes (<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>The following paragraphs provide subsite-dependent state-of-the-art surgical considerations and potential comorbidity-related nuances for operable elderly patients, bearing in mind the limited amount of studies specifically dedicated to elderly patients.</p>
</sec>
<sec id="s3_3">
<title>3.3 Surgical resection of the primary tumor according to anatomical subsites</title>
<sec id="s3_3_1">
<title>3.3.1 Parotid glands</title>
<p>For parotid SGC, a nerve preserving parotidectomy should be performed whenever the facial nerve is preoperatively functioning and detachable from the tumor. If unavoidable, microscopic tumor remnants left on a functioning nerve can be controlled by adjuvant RT. These principles apply also to elderly patients (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B43">43</xref>). Regarding the extent of parotidectomy, for high-grade T1-T2 tumors localized in the superficial parotid lobe there is still no consensus on the opportunity of removing also the deep lobe (<xref ref-type="bibr" rid="B41">41</xref>). Some argue that being more conservative for small high-grade SGC, and removing only the involved part of the superficial lobe, reduces the risk of facial nerve damage without compromising the oncologic outcome (<xref ref-type="bibr" rid="B54">54</xref>), while others support total parotidectomy to address the intraparotid lymph nodes both in superficial and deep lobes (<xref ref-type="bibr" rid="B55">55</xref>&#x2013;<xref ref-type="bibr" rid="B58">58</xref>). In the absence of high-quality evidence, it is possible to defend a more conservative approach in the 70y+ population, especially if the ACCI score is high (&gt;4). Unfortunately, early-stage high-grade tumors are rarely encountered in this age group: more frequently, elderly patients are diagnosed with advanced-stage high-grade SGC infiltrating the facial nerve or the surrounding structures. Therefore, relatively often, an extended radical parotidectomy with facial nerve, skin, skull base or temporal bone resection is needed (<xref ref-type="bibr" rid="B41">41</xref>). As stated previously, chronological age should not impede the surgeon from performing this type of radical intervention, but a G8 geriatric assessment is required to estimate, and eventually increase, the coping capacities of elderly patients. Focusing on the long-term outcomes, the age plays a significant role. A 5-years disease-free survival prognostic model for patients with resected parotid carcinoma was externally validated on a population composed for 35% by 70y+ patients, reporting a significant association between high-grade histology and advanced age, perineural growth, non-radical resection, T classification and N classification. Combined in a prognostic model, all these factors provided more information on the outcome than histology. Therefore, the histology variable was not included in this prognostic index (<xref ref-type="bibr" rid="B59">59</xref>).</p>
</sec>
<sec id="s3_3_2">
<title>3.3.2 Submandibular glands</title>
<p>Patients with T1-T2N0M0 submandibular SGCs are generally treated with surgery alone. Postoperative RT is needed in case of advanced stage, high grade, or pathological risk factors such as perineural invasion and/or positive resection margins (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>). Neck dissection of levels I-II-III is the minimal resection for a malignant submandibular SGC without evidence of lymph node involvement at clinical staging (cN0) (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B60">60</xref>). This should be taken into account especially for elderly patients presenting with high-grade SGCs or AdCC histology, which harbors a clinically occult pN+ rate of 1 out 4 (<xref ref-type="bibr" rid="B61">61</xref>). When preoperative MRI scan shows a tumor infiltrating the surrounding structures such as lingual, hypoglossal or marginal mandibular facial nerves, and muscles (digastric, stylohyoid, mylohyoid, hyoglossus), the MDT may deem it not feasible to operate frail elderly patients with comorbidities, while RT can preserve the neural function by achieving locoregional control. Conversely, an extended resection of nerves and mouth floor is usually well tolerated by fit elderly patients (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>).</p>
</sec>
<sec id="s3_3_3">
<title>3.3.3 Sublingual glands</title>
<p>Sublingual SGCs are extremely rare (<xref ref-type="bibr" rid="B41">41</xref>). A conservative resection, including Wharton&#x2019;s duct and the submandibular gland, may be sufficient for small sublingual SGCs confined to the mouth floor (<xref ref-type="bibr" rid="B62">62</xref>). For tumors &gt; 2&#xa0;cm, a more aggressive en-bloc pull-through resection is indicated, due to the high rate of AdCC histology. The resection may need extension to involve the lingual nerve, a marginal mandibulectomy, when the tumor involves the periosteum, or a segmental mandibulectomy, if bone invasion is present. A level I-II-III neck dissection is indicated in these cases (<xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B64">64</xref>). Comorbidities and frailty burden are more important than chronological age to assess whether the elderly patient will tolerate this type of surgery.</p>
</sec>
<sec id="s3_3_4">
<title>3.3.4 Minor salivary glands</title>
<p>The primary treatment for resectable mSGC is surgery, most frequently with postoperative RT (<xref ref-type="bibr" rid="B44">44</xref>). Often, mSGC are not resectable when diagnosed at an advanced stage, especially if they have nasosinusal/nasopharyngeal origin. The most frequent histotype is AdCC, with a tendency to locally spread along nerves, subperiostal and perichondral planes (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Especially in elderly and frail patients, RT can achieve a good locoregional control and it should be preferred to complex multidisciplinary surgical efforts that would have profound functional impact, still requiring postoperative RT in the majority of cases. Interestingly, in recent research, postoperative complications were associated with frailty, but RT-associated toxicity was not (<xref ref-type="bibr" rid="B52">52</xref>). Moreover, in the context of unresectable mSGCs, particle therapy has presented better locoregional control than photon therapy (<xref ref-type="bibr" rid="B65">65</xref>), and this will be extensively discussed further.</p>
</sec>
</sec>
<sec id="s3_4">
<title>3.4 Surgery of the neck with nodal involvement</title>
<p>Locoregionally advanced disease and high-grade tumors are frequently found in elderly patients (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B66">66</xref>) and correlate with a high risk of relapse (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B45">45</xref>). In operable cases, independently of age and salivary gland of origin, the clinical evidence of nodal involvement (cN+) requires an ipsilateral neck dissection of levels I-V. Conversely, the surgical management of cN0 scenario is still debatable (<xref ref-type="bibr" rid="B41">41</xref>). For elderly patients, if there is a preoperatively assessed high risk of occult neck disease, valid options are both:</p>
<list list-type="order">
<list-item>
<p>elective neck dissection associated with the primary surgery, based on a superselective level II dissection with frozen section (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B68">68</xref>);</p>
</list-item>
<list-item>
<p>elective neck irradiation, especially in frail patients, if adjuvant RT for the primary tumor is foreseen and confirmed by the pathological features of the primary tumor (<xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B70">70</xref>).</p>
</list-item>
</list>
</sec>
<sec id="s3_5">
<title>3.5 Reconstruction following ablative parotid surgery in the elderly</title>
<p>Since advanced stages and high-grade tumors are frequently observed in the elderly, extended resections are often needed in this population. The resulting defects require a reconstruction to minimize the functional consequences and facilitate adjuvant RT (<xref ref-type="bibr" rid="B71">71</xref>). The reconstructing options for major resections of parotid SGCs should match the patients&#x2019; medical conditions and comorbidities (<xref ref-type="bibr" rid="B41">41</xref>). Especially in the elderly, due to the laxity of the skin of the neck, skin defects resulting from the resection of SGCs with cutaneous invasion can be easily resolved by a local rotation flap (e.g. cervicofacial or cervicodeltopectoral flap) with primary closure of the donor site (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B71">71</xref>). For large skin defects, in elderly patients unfit for free flaps, an island flap based on occipital and posterior auricular perforators or the supraclavicular artery island flap (SCAIF) are good options (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B72">72</xref>). Also, deep and supporting tissues often need resection. In patients with vasculopathies, pedicled flaps are often preferred for reconstruction over microvascular free flaps (pectoralis major (myo)cutaneous flap, sternocleidomastoid flap, pedicled latissimus dorsi flap) (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B73">73</xref>). In elderly patients needing a facial nerve reconstruction, static measures for the upper eyelid (gold implant into the upper tarsal plate, lateral canthopexy), nasolabial groove and angle of the mouth (with a tendinous sling) are primordial (<xref ref-type="bibr" rid="B41">41</xref>). In a second procedure ptosis can be restored by a brow lift. For dynamic measures, the general adagium that immediate cable grafting with the greater auricular nerve (GAN) yields the best results, does not hold in the same way in the elderly. More reliable solutions for muscle tone conservation are the hypoglossal-facial-jump anastomosis using the GAN, and the increasingly popular &#x201c;dual nerve transfer&#x201d; (masseteric nerve to midface division of facial nerve and ansa hypoglossi branch to lower face division), as these nerves lay in the operative field; however, the long term effects &#x2013; especially in the elderly &#x2013; still need evaluation (<xref ref-type="bibr" rid="B74">74</xref>). Indeed, a functional re-innervation is more difficult to achieve in the elderly population than in younger patients.</p>
</sec>
</sec>
<sec id="s4">
<title>4 Radiation therapy with photons in the elderly</title>
<p>The role of RT in the management of SGCs mainly consists of postoperative radiation therapy (PORT) initiated after the assessment of pathologic risk factors and within 8 weeks post-surgery (Recommendation 3.7) (<xref ref-type="bibr" rid="B17">17</xref>), but for patients with medical comorbidities or unresectable tumors, primary RT with curative intent or &#x2013; more frequently &#x2013; with palliative intent are also options (Recommendation 3.10) (<xref ref-type="bibr" rid="B17">17</xref>). PORT is recommended for tumors with at least one of the following features, according to the ASCO 2021 (Recommendation 3.2) and the National Comprehensive Cancer Network (NCCN) guidelines v.1.2022 (<xref ref-type="bibr" rid="B75">75</xref>):</p>
<list list-type="bullet">
<list-item>
<p>intermediate/high grade histology (G2-G3)</p>
</list-item>
<list-item>
<p>large tumor extension (pT3-T4)</p>
</list-item>
<list-item>
<p>close or positive resection margins</p>
</list-item>
<list-item>
<p>neural/perineural invasion</p>
</list-item>
<list-item>
<p>lymphatic or vascular invasion</p>
</list-item>
<list-item>
<p>lymph node metastases</p>
</list-item>
<list-item>
<p>adenoid cystic carcinoma histology</p>
</list-item>
</list>
<p>Target volume selection and delineation depend on the location of the primary tumors, the histologic subtype and the neck status. For parotid and submandibular gland tumors, PORT for primary tumor should include the tumor bed with a margin to cover all the surrounding normal tissue in which microscopic tumor infiltration could have spread, such as the para-pharyngeal space for deep parotid tumors, or part of the masseter muscle in case of accessory parotid infiltration. There are no guidelines for mSGCs, and the delineation should be done according to the location of the primary tumor. Several authors published guidelines on target volume delineation for parotid and sub-mandibular glands, and readers are referred to these publications for more detailed information (<xref ref-type="bibr" rid="B76">76</xref>&#x2013;<xref ref-type="bibr" rid="B79">79</xref>).</p>
<p>In case of AdCC of the parotid gland, owing to the neurotropism of this histology, delineation of the VII cranial nerve should be done, including the skull base for nerve infiltration close to the mastoid; as AdCC cells may spread along the auriculotemporal nerve sheath, the 3<sup>rd</sup> branch of trigeminal nerve (mandibular nerve, V3) could also be at risk of infiltration, especially for parotid tumors invading the masticator space. For submandibular gland tumors, the branches of the XII nerve and the lingual nerve (a branch of V3) should be delineated. All patients should be treated with IMRT or VMAT, and a dose of 60 Gy should be delivered in 30 daily fractions of 2 Gy (<xref ref-type="bibr" rid="B80">80</xref>, <xref ref-type="bibr" rid="B81">81</xref>). There are no data to justify a higher radiation dose in case of positive resection margins (R1), and the benefit of concomitant chemo-radiotherapy is still unknown. The only randomized controlled trial designed to answer this issue (RTOG 1008) has closed to participant accrual and currently is in the phase of data analysis (NCT01220583). Retrospective data do not support RT implementation with chemotherapy on a routine basis (<xref ref-type="bibr" rid="B82">82</xref>), and the most recent ASCO Guidelines do not recommend this strategy (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>After elective neck dissection, PORT is not recommended for pN0 cases and for patients with a single positive node without extra-nodal spread (ENE-). In cN0 patients who did not undergo neck dissection, a watchful policy is recommended for low-grade and low-stage tumors. Conversely, a prophylactic irradiation of level Ib to IV is advised for high grade tumors, SDC, SCC, adenocarcinoma NOS, and undifferentiated histologies. For patients with multiple positive lymph nodes (N+) and/or for those presenting with extra-nodal extension (ENE+), irrespective of the number of positive nodes, PORT of levels Ib to V is recommended (<xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B83">83</xref>).</p>
<p>Guidelines on target volume delineation in the neck have been published (<xref ref-type="bibr" rid="B84">84</xref>, <xref ref-type="bibr" rid="B85">85</xref>). Typically, elective dose is delivered in the range of 50 Gy in 2 Gy equivalent, whereas a dose of 60 Gy in 30 daily fractions is recommended for pN+ neck (<xref ref-type="bibr" rid="B70">70</xref>). Current data do not justify a higher radiation dose in ENE+ cases, and the benefit of concomitant chemotherapy is unknown. As for the primary tumor bed, intensity-modulated RT (IMRT) or volumetric modulated arc therapy (VMAT) should be used as standard irradiation techniques (<xref ref-type="bibr" rid="B86">86</xref>&#x2013;<xref ref-type="bibr" rid="B88">88</xref>). When two different dose levels are used, it is recommended to use a Simultaneous Integrated Boost (SIB) approach.</p>
<p>In patients with unresectable or inoperable tumors due to comorbidities, exclusive RT &#x2013; either with photons or heavy particles &#x2013; should be considered as a treatment option. For patients who may not be able to receive curative treatment, palliative RT can improve the quality of life by controlling major loco-regional symptoms such as pain, dysphagia, dyspnea, and bleeding. There is no specific protocol for SGCs, and different RT regimens may be administered, such as 30 Gy in 10 fractions, 20-25 Gy in 5 fractions, or 40-50 Gy in 16 fractions (<xref ref-type="bibr" rid="B89">89</xref>). Studies focused on target volume selection, delineation, and dose level as a function of patient age/comorbidities are currently lacking. A study compared a small cohort of 29 elderly patients with major SGCs treated with chemo-radiotherapy or PORT with a matched-pair group of younger patients, without finding any difference in acute or late toxicities (<xref ref-type="bibr" rid="B90">90</xref>). In RT for mucosal SCC, age was not reported as a prognostic factor for the development of acute or late toxicity, therefore it is recommended to follow similar guidelines for SGCs RT in elderly as in younger patients (<xref ref-type="bibr" rid="B91">91</xref>), also considering that irradiated volumes are typically smaller for SGCs in comparison to other HNCs.</p>
</sec>
<sec id="s5">
<title>5 Particle therapy in the elderly</title>
<p>SGCs of the head and neck are frequently found in proximity to critical structures, such as the paranasal sinuses and the base of skull, and their local control following RT is dose-dependent. Especially in SGCs, the progress of RT techniques throughout the past decades has been achieved by increasing accuracy, and the dose escalation facilitated by high-precision technologies. As opposed to photon RT, proton and heavy ion (carbon) beams exhibit a finite penetration depth within tissue and deposit most of the energy at the end of their path (Bragg Peak), with only minimal dose deposition beyond the Bragg peak. This allows the generation of extremely steep dose gradients resulting in improved sparing of the normal tissue surrounding the target volume. In addition, carbon ions beams generate more complex DNA damage, leading to increased biological effectiveness as compared to either photon or proton RT, and making this technique ideal for SGCs treatment.</p>
<p>High linear energy transfer (LET) RT for SGCs has been explored early on (<xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B93">93</xref>). Despite long-term toxicity was significant, the treatment with neutrons achieved a higher local control of disease compared with photons RT, and these early studies led to the investigation of charged particle therapy for SGCs.</p>
<sec id="s5_1">
<title>5.1 Carbon ions (C12)</title>
<p>In 2004, the Chiba group investigators shared their initial experience with carbon ions in HNC. In a prospective pilot trial, patients with various advanced HN malignancies (44% T4) were treated with either an RBE-weighted dose of 52.8-64 Gy of C12 in 16 fractions (4 weeks) or 70.2 GyRBE of C12 in 18 fractions (6 weeks). Despite their unfavorable risk profiles, in patients with AdCC histology carbon ions led to local control rates of 50% at 5 years, with a mild toxicity profile (no G3 toxicity or higher) (<xref ref-type="bibr" rid="B94">94</xref>). A follow-up protocol confirmed these results, showing a local control rate of 73% at a median follow-up of 54 months and an OS rate of 47% at 5 years (<xref ref-type="bibr" rid="B95">95</xref>). Pooled data of the J-CROS consortium representing four Japanese carbon ion institutions have recently been published (<xref ref-type="bibr" rid="B96">96</xref>&#x2013;<xref ref-type="bibr" rid="B101">101</xref>). Koto and colleagues reported outcomes of 458 patients with rare HNC, 27% with AdCC and 4,6% with adenocarcinoma of the nasal and paranasal sinuses, treated with carbon ions between 2003 and 2014. Patients received treatment mostly for advanced disease (overall, 65% Stage cT4) with a variety of C12 treatment protocols with RBE-weighted dose between 57,6 &#x2013; 60,8Gy in 16 fractions to 65 &#x2013; 70,2Gy in 26 fractions and normofractionated RBE weighted dose of 70,4Gy. At a median follow-up of 25 months, local control in 122 AdCC patients was 86,5% at 2 years and 77,9% at 2 years in 21 patients with adenocarcinoma (<xref ref-type="bibr" rid="B96">96</xref>). In a recent update on 289 patients with AdCC (69% T4), the JCROS working group achieved at 2 years a locoregional control (LRC) rate of 88%, median progression free survival (mPFS) of 68% and a CTCAE G3 late toxicity rate of 15% (<xref ref-type="bibr" rid="B98">98</xref>).</p>
<p>The combined treatment of IMRT plus carbon ion boost in active beam application achieved comparable results. An initial analysis based on 29 patients with advanced tumors and gross residual disease, treated either with IMRT+C12 boost (mixed beam) or IMRT (photons only), showed a 4-years LRC of 77.5% and 24.6%, respectively. The OS showed a trend in favor of the mixed beam regimen, but differences at the time were not statistically significant (<xref ref-type="bibr" rid="B102">102</xref>). Updated results on 95 patients (94% Stage cT4) confirmed the initial findings: at a median follow-up of 63 months, the 5-years LRC was 60% for mixed beam vs 40% of photons only, and the 5-years OS was 79% vs 60%, respectively. Higher-grade late toxicities remained consistently low (5% G3, no G4-G5 toxicities). No significant LRC differences could be detected between patients following radical resection with gross residual tumor and patients with inoperable disease (<xref ref-type="bibr" rid="B103">103</xref>).</p>
<p>The phase II COSMIC trial explored the combination of IMRT and dose escalated carbon ion boost, achieving durable LRC and low toxicity profile (<xref ref-type="bibr" rid="B104">104</xref>). Moreover, the comparison of patients treated with this modality following surgical resection and those who had received biopsy only, suggested a more favorable toxicity profile in the latter group, without significant differences in terms of LRC. A retrospective analysis of more than 300 patients with AdCC treated with IMRT plus carbon ion boost from the same institution also confirmed those findings (<xref ref-type="bibr" rid="B105">105</xref>). The results were updated and analyzed according to the anatomical site, including a study with 24 patients treated for mixed SGCs of the lacrimal gland and another with 59 patients with nasopharyngeal AdCC (<xref ref-type="bibr" rid="B106">106</xref>, <xref ref-type="bibr" rid="B107">107</xref>). In the former study, the LRC was 93% at 2 years; in the latter, focused on inoperable (72%) or incompletely resected AdCC, the LRC was 83% at 2 years, similar to the overall analysis (<xref ref-type="bibr" rid="B105">105</xref>). Local recurrence occurred mainly within the gradient to adjacent critical structures; potentially, a harder trade-off may improve results, but also significantly increase high-grade late toxicities (8% G3 AEs).</p>
</sec>
<sec id="s5_2">
<title>5.2 Protons</title>
<p>Carbon ion facilities are still few, while proton therapy is more accessible. Proton beams have a finite range and Bragg peak, similarly to carbon ions, although their RBE remains similar to photons. Pommier and Linton reported the outcomes of 23 and 26 patients with AdCC treated with standard fractionated protons at 76 Gy (Boston, U.S.A.) (<xref ref-type="bibr" rid="B108">108</xref>) and 72 Gy (Indianapolis, U.S.A.) (<xref ref-type="bibr" rid="B109">109</xref>). In the former study, 87% of cases had gross residual disease and the 5-years LRC was 95%; in the latter, the 77% of patients had cT4 disease and the 2-years LRC was 92%. Nevertheless, there is a caveat: in the study of Pommier et&#xa0;al., G3 CNS toxicity rate was 43% and two patients developed fatal late effects (9% G5). However, passive beam shaping was used at the time. Gentile et&#xa0;al. treated 14 patients with AdCC of the nasopharynx with 73,8 Gy protons in spot-scanning technique. The cohort included very advanced tumors (90% cT4, 21% with residual disease following debulking and 79% inoperable). Local failures were detected within the high-dose volume, and 5-years OS rate was 59% at a median follow-up of 69 months (<xref ref-type="bibr" rid="B110">110</xref>).</p>
<p>The Orsay group reported a series of 13 patients with incompletely resected or inoperable sinonasal AdCC treated with a combination of photons and protons to a median dose of 73,8Gy: the 3-years LRC was 60% and 2-years OS rate 75% at a median follow-up 34 months; 46% of patients experienced G3 ipsilateral hearing loss, due to proximity of tumor to the ear structures (<xref ref-type="bibr" rid="B111">111</xref>). The Paul Scherrer Institute group recently shared the outcomes of 35 patients with AdCC treated with protons at a median RBE-weighted dose of 75,6Gy (definitive RT) and 70Gy (post-operative RT): 2-years LRC was 92.2% and OS 88.8% at a median follow-up of 30 months (<xref ref-type="bibr" rid="B112">112</xref>).</p>
</sec>
<sec id="s5_3">
<title>5.3 Re-irradiation with particle therapy</title>
<p>Local relapse following initial RT remains a therapeutic challenge. When salvage surgery is not an option, current systemic treatments only achieve modest response rates and rarely alleviate local symptoms. Re-irradiation is used with caution, however data regarding re-irradiation with carbon ions are emerging. Three groups reported their experience with scanned C12 in HN SGCs:</p>
<list list-type="bullet">
<list-item>
<p>In CNAO Pavia (Italy) 51 patients with mixed SGC histologies (74.5% AdCC) were treated within a dose escalation protocol ranging from 15-22 x 3 Gy (RBE weighted dose) to 12 x 5 Gy (RBE weighted dose), with a median RBE-weighted dose of 60 Gy reirradiation dose. At a median follow-up of 19 months, the 1-2 years PFS and OS were 72%-52% and 90%-64%, respectively. No G4 or G5 late toxicities were observed, G3 late toxicities (visual deficits, neuropathy, trismus) was detected in 23% of cases (<xref ref-type="bibr" rid="B113">113</xref>).</p>
</list-item>
<list-item>
<p>In Heidelberg (Germany) 52 patients with AdCC received a median RBE weighted dose of 51Gy and cumulative RBE weighted dose of 128 Gy (3 Gy per fraction) after a median RT-interval of 61 months; with a median follow-up of 14 months, 1-year LRC was 70% and OS rate 88%. Overall response was 54%, while toxicity was moderate (&lt; 7% G3-G4). Following re-irradiation, approximately 35% developed another local relapse within the high-dose area (<xref ref-type="bibr" rid="B114">114</xref>); updated results of the Heidelberg group in a mixed cohort of recurrent HNC further support those findings (<xref ref-type="bibr" rid="B115">115</xref>).</p>
</list-item>
<list-item>
<p>In Chiba (Japan) 48 patients with mixed histologies of the HN district (35.4% AdCC) were re-irradiated for local recurrence with a median RBE weighted re-RT dose of 54 Gy (C12) following a median initial RBE weighted dose of 57,6 Gy (C12). At a median follow-up of 27 months, 2-years LRC and OS rate were 41% and 60%, respectively. However, G3 and higher late toxicities reached 38% (<xref ref-type="bibr" rid="B116">116</xref>).</p>
</list-item>
</list>
<p>Considering the reported results, re-irradiation is feasible, but further dose escalation should be explored with utmost caution. Median age in all the aforementioned cohorts ranged between 43 and 63 years (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>), and elderly patients constituted a significant percentage of treated patients. Nevertheless, age has been infrequently assessed as a predictor for control and survival rates. Only the large J-CROS series was able to demonstrate a negative impact of higher age on OS (<xref ref-type="bibr" rid="B96">96</xref>, <xref ref-type="bibr" rid="B98">98</xref>). Furthermore, radiation therapy on specific subsites may yield a high toxicity impact on elderly patients; Weber et&#xa0;al. showed that age predicted increased visual/ocular toxicity on univariate analysis in a cohort of 36 patients with sinonasal malignancies treated with photons/protons (<xref ref-type="bibr" rid="B117">117</xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Available studies on particle therapy in SGCs and median age of each study population.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">First Author</th>
<th valign="top" align="left">Journal</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="left">Particle therapy facility</th>
<th valign="top" align="left">Histotype</th>
<th valign="top" align="center">Head and neck subsite</th>
<th valign="top" align="center">N. of patients</th>
<th valign="top" align="center">Type of particle therapy</th>
<th valign="top" align="center">Median age (years)</th>
<th valign="top" align="center">Influence of age on outcome</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Mizoe</bold>
<break/>(<xref ref-type="bibr" rid="B94">94</xref>)</td>
<td valign="top" align="left">IJROBP</td>
<td valign="top" align="center">2004</td>
<td valign="top" align="left">Chiba, Japan</td>
<td valign="top" align="left">Mixed</td>
<td valign="top" align="left">&#xa0;&#x2013;</td>
<td valign="top" align="center">36</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">59-60</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Mizoe</bold>
<break/>(<xref ref-type="bibr" rid="B95">95</xref>)</td>
<td valign="top" align="left">IJROBP</td>
<td valign="top" align="center">2012</td>
<td valign="top" align="left">Chiba, Japan</td>
<td valign="top" align="left">Mixed</td>
<td valign="top" align="left">&#xa0;&#x2013;</td>
<td valign="top" align="center">236</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">56,5</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Koto</bold>
<break/>(<xref ref-type="bibr" rid="B96">96</xref>)</td>
<td valign="top" align="left">IJROBP</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">J-CROS, Japan</td>
<td valign="top" align="left">Mixed</td>
<td valign="top" align="left">sinonasal</td>
<td valign="top" align="center">458</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">63</td>
<td valign="top" align="left">Age is a prognostic factor for OS</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Shirai</bold>
<break/>(<xref ref-type="bibr" rid="B97">97</xref>)</td>
<td valign="top" align="left">Cancer Sci</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="left">J-CROS, Japan</td>
<td valign="top" align="left">MEC</td>
<td valign="top" align="left">&#xa0;&#x2013;</td>
<td valign="top" align="center">26</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">61</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Sulaiman</bold> (<xref ref-type="bibr" rid="B98">98</xref>)</td>
<td valign="top" align="left">IJROBP</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">J-CROS, Japan</td>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="left">&#xa0;&#x2013;</td>
<td valign="top" align="center">289</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">58</td>
<td valign="top" align="left">Age is a prognostic factor for OS</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hayashi</bold> (<xref ref-type="bibr" rid="B99">99</xref>)</td>
<td valign="top" align="left">Cancer Sci</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">J-CROS, Japan</td>
<td valign="top" align="left">Major SGC</td>
<td valign="top" align="left">&#xa0;&#x2013;</td>
<td valign="top" align="center">69</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">62</td>
<td valign="top" align="left">No significant influence (multivariate)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Abe</bold>
<break/>(<xref ref-type="bibr" rid="B100">100</xref>)</td>
<td valign="top" align="left">Cancer Med</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">J-CROS, Japan</td>
<td valign="top" align="left">non-SCC HNC</td>
<td valign="top" align="left">nasopharynx</td>
<td valign="top" align="center">43</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">63</td>
<td valign="top" align="left">No significant influence (multivariate)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hayashi</bold> (<xref ref-type="bibr" rid="B101">101</xref>)</td>
<td valign="top" align="left">Cancer Med</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">J-CROS, Japan</td>
<td valign="top" align="left">Mixed</td>
<td valign="top" align="left">auditory canal</td>
<td valign="top" align="center">31</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">55</td>
<td valign="top" align="left">No significant influence (multivariate)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Jensen</bold> (<xref ref-type="bibr" rid="B103">103</xref>)</td>
<td valign="top" align="left">Cancer</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">Heidelberg, Germany</td>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="left">&#xa0;&#x2013;</td>
<td valign="top" align="center">58</td>
<td valign="top" align="left">C12+IMRT</td>
<td valign="top" align="center">58</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Jensen</bold> (<xref ref-type="bibr" rid="B104">104</xref>)</td>
<td valign="top" align="left">IJROBP</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">Heidelberg, Germany</td>
<td valign="top" align="left">SGCs</td>
<td valign="top" align="left">&#xa0;&#x2013;</td>
<td valign="top" align="center">53</td>
<td valign="top" align="left">C12+IMRT</td>
<td valign="top" align="center">58</td>
<td valign="top" align="left">No significant influence (univariate)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Jensen</bold> (<xref ref-type="bibr" rid="B105">105</xref>)</td>
<td valign="top" align="left">Radiother Oncol</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">Heidelberg, Germany</td>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="left">&#xa0;&#x2013;</td>
<td valign="top" align="center">309</td>
<td valign="top" align="left">C12+IMRT</td>
<td valign="top" align="center">56</td>
<td valign="top" align="left">No significant influence (univariate)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Akbaba</bold> (<xref ref-type="bibr" rid="B106">106</xref>)</td>
<td valign="top" align="left">Cancer Man Res</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">Heidelberg, Germany</td>
<td valign="top" align="left">Mixed</td>
<td valign="top" align="left">lacrimal gland</td>
<td valign="top" align="center">24</td>
<td valign="top" align="left">C12+IMRT</td>
<td valign="top" align="center">51</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Akbaba</bold> (<xref ref-type="bibr" rid="B107">107</xref>)</td>
<td valign="top" align="left">Oral Oncol</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">Heidelberg, Germany</td>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="left">nasopharynx</td>
<td valign="top" align="center">59</td>
<td valign="top" align="left">C12+IMRT</td>
<td valign="top" align="center">59</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Pommier</bold> (<xref ref-type="bibr" rid="B108">108</xref>)</td>
<td valign="top" align="left">Arch Otolaryngol Head Neck Surg</td>
<td valign="top" align="center">2006</td>
<td valign="top" align="left">MGH, U.S.A.</td>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="left">skull base</td>
<td valign="top" align="center">23</td>
<td valign="top" align="left">protons</td>
<td valign="top" align="center">46</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Linton</bold> (<xref ref-type="bibr" rid="B109">109</xref>)</td>
<td valign="top" align="left">Head Neck</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">Indianapolis, U.S.A.</td>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="left">&#xa0;&#x2013;</td>
<td valign="top" align="center">26</td>
<td valign="top" align="left">protons</td>
<td valign="top" align="center">46</td>
<td valign="top" align="left">No significant influence (multivariate)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Gentile</bold> (<xref ref-type="bibr" rid="B110">110</xref>)</td>
<td valign="top" align="left">Oral Oncol</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="left">MGH, U.S.A.</td>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="left">nasopharynx/skull base</td>
<td valign="top" align="center">14</td>
<td valign="top" align="left">protons</td>
<td valign="top" align="center">52</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Dautruche</bold> (<xref ref-type="bibr" rid="B111">111</xref>)</td>
<td valign="top" align="left">Cancer Radiother</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">Orsay, France</td>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="left">sinonasal</td>
<td valign="top" align="center">13</td>
<td valign="top" align="left">protons +/- photons</td>
<td valign="top" align="center">55</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Pelak</bold>
<break/>(<xref ref-type="bibr" rid="B112">112</xref>)</td>
<td valign="top" align="left">Oral Oncol</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">PSI, Switzerland</td>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="left">&#xa0;&#x2013;</td>
<td valign="top" align="center">35</td>
<td valign="top" align="left">protons</td>
<td valign="top" align="center">45,4</td>
<td valign="top" align="left">Worse prognosis with increasing age</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Weber</bold> (<xref ref-type="bibr" rid="B117">117</xref>)</td>
<td valign="top" align="left">Radiother Oncol</td>
<td valign="top" align="center">2006</td>
<td valign="top" align="left">MGH, U.S.A.</td>
<td valign="top" align="left">Mixed</td>
<td valign="top" align="left">sinonasal</td>
<td valign="top" align="center">33</td>
<td valign="top" align="left">protons</td>
<td valign="top" align="center">54</td>
<td valign="top" align="left">Increasing age predics late toxicities (univariate)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Ikawa</bold> (<xref ref-type="bibr" rid="B118">118</xref>)</td>
<td valign="top" align="left">Cancer Med</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">Multi-center Japan</td>
<td valign="top" align="left">non-SCC</td>
<td valign="top" align="left">oral cavity</td>
<td valign="top" align="center">76</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">61,5</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Ikawa</bold> (<xref ref-type="bibr" rid="B119">119</xref>)</td>
<td valign="top" align="left">Head Neck</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">Chiba, Japan</td>
<td valign="top" align="left">non-SCC</td>
<td valign="top" align="left">oral cavity</td>
<td valign="top" align="center">74</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">56</td>
<td valign="top" align="left">No significant influence (multivariate)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hagiwara</bold> (<xref ref-type="bibr" rid="B120">120</xref>)</td>
<td valign="top" align="left">Head Neck</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">Chiba, Japan</td>
<td valign="top" align="left">SGCs</td>
<td valign="top" align="left">sphenoid sinus</td>
<td valign="top" align="center">15</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">55</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hayashi</bold> (<xref ref-type="bibr" rid="B121">121</xref>)</td>
<td valign="top" align="left">Oncotarget</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">Chiba, Japan</td>
<td valign="top" align="left">Mixed</td>
<td valign="top" align="left">lacrimal gland</td>
<td valign="top" align="center">33</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">58</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Koto</bold>
<break/>(<xref ref-type="bibr" rid="B122">122</xref>)</td>
<td valign="top" align="left">Head Neck</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="left">Chiba, Japan</td>
<td valign="top" align="left">SGCs</td>
<td valign="top" align="left">parotid</td>
<td valign="top" align="center">46</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">57</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Koto</bold>
<break/>(<xref ref-type="bibr" rid="B123">123</xref>)</td>
<td valign="top" align="left">Head Neck</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">Chiba, Japan</td>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="left">tongue base</td>
<td valign="top" align="center">18</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">55</td>
<td valign="top" align="left">No significant influence (univariate)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Lang</bold>
<break/>(<xref ref-type="bibr" rid="B124">124</xref>)</td>
<td valign="top" align="left">Cancers (Basel)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">Heidelberg, Germany</td>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="left">minor salivary glands</td>
<td valign="top" align="center">67</td>
<td valign="top" align="left">C12+IMRT</td>
<td valign="top" align="center">67</td>
<td valign="top" align="left">No significant influence (multivariate)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Morimoto</bold> (<xref ref-type="bibr" rid="B125">125</xref>)</td>
<td valign="top" align="left">Jpn J Clin Oncol</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="left">Hyogo, Japan</td>
<td valign="top" align="left">Mixed</td>
<td valign="top" align="left">skull base</td>
<td valign="top" align="center">57</td>
<td valign="top" align="left">protons or C12</td>
<td valign="top" align="center">55</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Takagi</bold> (<xref ref-type="bibr" rid="B126">126</xref>)</td>
<td valign="top" align="left">Radiother Oncol</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="left">Hyogo, Japan</td>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="left">&#xa0;&#x2013;</td>
<td valign="top" align="center">80</td>
<td valign="top" align="left">protons or C12</td>
<td valign="top" align="center">59,5</td>
<td valign="top" align="left">No significant influence (multivariate)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Lesueur</bold> (<xref ref-type="bibr" rid="B127">127</xref>)</td>
<td valign="top" align="left">Front Oncol</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">Orsay, France</td>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="left">lacrimal gland</td>
<td valign="top" align="center">15</td>
<td valign="top" align="left">protons</td>
<td valign="top" align="center">43</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hu</bold>
<break/>(<xref ref-type="bibr" rid="B128">128</xref>)</td>
<td valign="top" align="left">Front Oncol</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="left">SPHIC, China</td>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="left">sinonasal</td>
<td valign="top" align="center">38</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">45</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Shirai</bold>
<break/>(<xref ref-type="bibr" rid="B129">129</xref>)</td>
<td valign="top" align="left">Cancer Sci</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="left">Gunma, Japan</td>
<td valign="top" align="left">non-SCC</td>
<td valign="top" align="left">&#xa0;&#x2013;</td>
<td valign="top" align="center">35</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">59</td>
<td valign="top" align="left">No significant influence (multivariate)</td>
</tr>
<tr>
<td valign="top" colspan="10" align="left">
<bold>Re-irradiation with particle therapy</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Vischioni</bold> (<xref ref-type="bibr" rid="B113">113</xref>)</td>
<td valign="top" align="left">Radiother Oncol</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="left">CNAO, Italy</td>
<td valign="top" align="left">SGCs</td>
<td valign="top" align="left">re-RT</td>
<td valign="top" align="center">51</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">60</td>
<td valign="top" align="left">Worse prognosis with increasing age</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Jensen</bold> (<xref ref-type="bibr" rid="B114">114</xref>)</td>
<td valign="top" align="left">Radiother Oncol</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">Heidelberg, Germany</td>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="left">re-RT</td>
<td valign="top" align="center">52</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">54</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Held</bold>
<break/>(<xref ref-type="bibr" rid="B115">115</xref>)</td>
<td valign="top" align="left">IJROBP</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">Heidelberg, Germany</td>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="left">re-RT</td>
<td valign="top" align="center">124</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="left">No significant influence (multivariate)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hayashi</bold> (<xref ref-type="bibr" rid="B116">116</xref>)</td>
<td valign="top" align="left">Radiother Oncol</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">Chiba/NIRS</td>
<td valign="top" align="left">Mixed</td>
<td valign="top" align="left">re-RT</td>
<td valign="top" align="center">48</td>
<td valign="top" align="left">C12</td>
<td valign="top" align="center">56.5</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>McDonald</bold> (<xref ref-type="bibr" rid="B130">130</xref>)</td>
<td valign="top" align="left">IJROBP</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">Indianapolis, U.S.A.</td>
<td valign="top" align="left">Mixed</td>
<td valign="top" align="left">re-RT</td>
<td valign="top" align="center">61</td>
<td valign="top" align="left">protons</td>
<td valign="top" align="center">62 (SCC)<break/>vs 53 (non-SCC)</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>J-CROS, Japan Carbon Ion Radiation Oncology Study Group; MGH, Massachusetts General Hospital, Boston, U.S.A; SPHIC, Shangai Proton Ans Heavy Ion Center; PSI, Paul  Scherrer Institut, Villigen, Switzerland; CNAO, National Center for Oncological Hadrontherapy, Pavia, Italy. NA, Not Available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Despite the treatment of elderly patients is an important issue to address, indicators such as age, quality of life, performance status and comorbidity scores have not been studied in detail so far. Therefore, in this context data are extremely limited. A pooled data analysis of 288 elderly patients with SGCs treated at 3 institutions between 2005 and 2020 was recently performed: 207/288 subjects (72%) were treated with IMRT plus C12 boost, which was correlated with a high LRC (90.6% at 2 years), but the OS was not improved; 70/288 subjects (24.3%) experienced higher grade (G3) acute toxicities, most commonly mucositis, dysphagia and dermatitis. However, toxicities were not reported separately for particle and photon RT, and no structured evaluation of comorbidities was performed (<xref ref-type="bibr" rid="B131">131</xref>).</p>
</sec>
</sec>
<sec id="s6">
<title>6 Systemic treatments: From chemotherapy to precision oncology</title>
<p>Adjuvant systemic treatments are not recommended by the ASCO Guidelines outside of clinical trials, despite the fact that two retrospective studies described a potential benefit of androgen deprivation therapy (ADT) and HER2-blockade in SGCs harboring high-risk pathological features of relapse and overexpression of androgen receptor (AR+) and HER2 receptor, respectively (<xref ref-type="bibr" rid="B132">132</xref>, <xref ref-type="bibr" rid="B133">133</xref>). Both studies reported a median age at diagnosis of 60 years (range 29&#x2013;84 years in the study with ADT; 18&#x2013;87 years in the study with HER2-blockade) and a prevalence of high-risk histologies, such as SDC. In the former study, 22 patients with stage IVA AR+ SDC received bicalutamide alone or bicalutamide plus LHRHa as adjuvant treatment. At a median follow-up of 20 months, the 3-years disease free survival (DFS) of ADT-treated patients and control group was 48% and 27.7% respectively, with a hazard ratio (HR) of 0.14 (95% CI 0.025 &#x2013; 0.75, p=0.02). In the latter study on adjuvant HER2-blockade, 34 patients were HER2 positive (1-3+) by immunostaining (41% 3+, 38.2% 2+ and 20.6% 1+). A statistically significant survival benefit of adjuvant trastuzumab versus standard follow-up was observed only in the subgroup with high expression of HER2/neu at immunohistochemistry (IHC 3+ score), showing a DFS of 117 vs 9 months (p = 0.02) and an OS of 74 vs 43 months (p = 0.02). A trial with the antibody-drug conjugate (ADC) ado-trastuzumab emtansine (T-DM1) in the adjuvant setting of HER2-positive SGCs is ongoing (NCT04620187).</p>
<p>Currently, the setting of systemic treatments for SGCs is recurrent/metastatic (R/M) disease without either surgical or (re-)irradiation options. Common sites of distant metastases in SGC are the lung (49&#x2013;91%), bones (40%), liver (19%), soft tissue (9%), distant nodal basins (8%), brain (7%), kidney (2%), orbit (2%), pancreas (2%) (<xref ref-type="bibr" rid="B134">134</xref>).</p>
<p>As specified in the last 2021 ASCO Guidelines, therapy initiation should be considered in the following situations (Recommendation 6.3) (<xref ref-type="bibr" rid="B17">17</xref>):</p>
<list list-type="order">
<list-item>
<p>symptomatic metastatic deposits not amenable to palliative local therapy;</p>
</list-item>
<list-item>
<p>if the growth has the potential to compromise organ function;</p>
</list-item>
<list-item>
<p>if lesions have grown more than 20% in the preceding 6 months.</p>
</list-item>
</list>
<p>Notably, patients with oligometastatic AdCC and low-grade SGCs with a limited metastatic burden (i.e. &#x2264; 5 lesions) can be considered amenable to palliative local treatments, either by surgery (e.g. lung metastasectomy) or stereotactic body radiation therapy (SBRT) (Recommendation 6.2) (<xref ref-type="bibr" rid="B17">17</xref>). SBRT would be the most suitable option to fragile patients facing a high surgical risk for advanced age and/or comorbidities.</p>
<p>Two single-center studies focused on the setting of advanced AdCC showed that increasing age was related to worse OS: in one study of 105 patients with median age 57.3y (range 19 &#x2013; 87), the hazard ratio per decade for OS was 1.2 (CI 1.1 &#x2013; 1.6) (<xref ref-type="bibr" rid="B135">135</xref>). In another study of 88 patients with a median age of 58y (26 &#x2013; <xref ref-type="bibr" rid="B79">79</xref>), the group aged &gt; 60y had worse OS compared with the &lt; 40y group (p=.028) (<xref ref-type="bibr" rid="B136">136</xref>). Recently, a prognostic nomogram was proposed as a tool which may help clinicians in recognizing patients with metastatic AdCC who could benefit from a watchful waiting strategy <italic>vs</italic> active treatment (<xref ref-type="bibr" rid="B137">137</xref>). The study included 298 patients with a median age of 51y (range 42 &#x2013; 60) in the testing cohort (n=259) and 59y (range 48 &#x2013; 68) in the validation cohort (n=39). The nomogram is based on five independent prognostic factors (gender, disease-free interval and presence of lung, liver or bone metastases) that can predict the overall survival at 3, 5 and 7 years. Therefore, age was not confirmed as an independent prognostic factor for OS in this group of R/M AdCC patients.</p>
<sec id="s6_1">
<title>6.1 Chemotherapy</title>
<p>Few clinical trials investigated the efficacy of cytotoxic chemotherapies in patients with R/M SGCs. In most of the studies, the population number was less than 40 patients and included a variety of histotypes, both AdCC and non-AdCC (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>). Consequently, there is not a standard-of-care regimen for SGCs, and the choice of treatment is often directed by the toxicity profile of drugs that proved an activity in this setting.</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Poli-chemotherapy regimens for SGCs and median age of study populations.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">First Author</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">N. pts and histologies</th>
<th valign="top" align="center">Combination regimen</th>
<th valign="top" align="center">Median age (range)</th>
<th valign="top" align="center">ORR (%)</th>
<th valign="top" align="center">Duration of response and PFS</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Licitra</bold> (<xref ref-type="bibr" rid="B138">138</xref>)<break/>Phase II trial</td>
<td valign="top" align="center">1996</td>
<td valign="top" align="left">22 pts<break/>AdCC = 12<break/>Non-AdCC = 10</td>
<td valign="top" align="left">
<bold>CAP</bold> regimen (d1 q21):<break/>&#x2022;&#x2003;<bold>Cyclophosphamide</bold> 500 mg/sqm bolus i.v.<break/>&#x2022;&#x2003;<bold>Adriamycin</bold> 50 mg/sqm<break/>&#x2022;&#x2003;<bold>Cisplatin</bold> 50 mg/sqm in 30 minutes<break/>up to PD/toxicities</td>
<td valign="top" align="center">50<break/>(33 &#x2013; 65)</td>
<td valign="top" align="left">29%<break/>(95% CI 11-50%)<break/>PR = 27%<break/>CR = 0<break/>Mean number of cycles = 4 (2-6)</td>
<td valign="top" align="left">DoR = 7 months (3 &#x2013; 13)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Airoldi</bold> (<xref ref-type="bibr" rid="B139">139</xref>)<break/>Prospective study</td>
<td valign="top" align="center">2000</td>
<td valign="top" align="left">14 pts<break/>AdCC = 10<break/>Non-AdCC = 4</td>
<td valign="top" align="left">&#x2022;&#x2003;<bold>Carboplatin</bold> AUC 5.5 q21<break/>&#x2022;&#x2003;<bold>Paclitaxel</bold> 175 mg/sqm&#xa0;q21</td>
<td valign="top" align="center">55<break/>(20 &#x2013; 70)</td>
<td valign="top" align="left">
<bold>14%</bold>
</td>
<td valign="top" align="left">DoR = 8.5 months (5 &#x2013; 12)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Airoldi</bold> (<xref ref-type="bibr" rid="B140">140</xref>)<break/>Phase II trial</td>
<td valign="top" align="center">2001</td>
<td valign="top" align="left">16 pts<break/>AdCC = 9<break/>Non-AdCC = 7</td>
<td valign="top" align="left">&#x2022;&#x2003;<bold>Cisplatin</bold> 80 mg/sqm q21<break/>&#x2022;&#x2003;<bold>Vinorelbine</bold> 25 mg/sqm dd1,8 q21<break/>up to 6 cycles</td>
<td valign="top" align="center">58<break/>(20 &#x2013; 68)</td>
<td valign="top" align="left">
<bold>34%</bold>
<break/>PR = 25%<break/>CR = 19%</td>
<td valign="top" align="left">median duration of PR<break/>= 7.5 months (3 &#x2013; 11)<break/>median duration of CR<break/>= 15 months (6-27+)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Laurie</bold> (<xref ref-type="bibr" rid="B141">141</xref>)<break/>Phase II trial</td>
<td valign="top" align="center">2010</td>
<td valign="top" align="left">33 pts<break/>AdCC = 10<break/>Non-AdCC = 23</td>
<td valign="top" align="left">&#x2022;&#x2003;<bold>Platinum</bold>
<break/>&#x2022;&#x2003;(either cisplatin 80 mg/sqm d1 or carboplatin AUC 5 d1 q21)<break/>&#x2022;&#x2003;<bold>Gemcitabine</bold> 1000 mg/sqm d1,8 q21<break/>up to 6 cycles</td>
<td valign="top" align="center">58<break/>(33 &#x2013; 81)</td>
<td valign="top" align="left">
<bold>24%</bold>
<break/>(95% CI 11-42%)<break/>PR = 21%<break/>CR = 3%<break/>
<italic>OR were observed in patients who received cisplatin.</italic>
</td>
<td valign="top" align="left">DoR = 6.7 months (1.3 &#x2013; 11.3)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Nakano</bold> (<xref ref-type="bibr" rid="B142">142</xref>)<break/>Retrospective study</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">38 pts<break/>AdCC = 9<break/>SDC = 18<break/>Other SGC = 11</td>
<td valign="top" align="left">&#x2022;&#x2003;<bold>Carboplatin</bold> AUC 6 q21<break/>&#x2022;&#x2003;<bold>Paclitaxel</bold> 200 mg/sqm&#xa0;q21</td>
<td valign="top" align="center">60<break/>(29 &#x2013; 75)</td>
<td valign="top" align="left">
<bold>39%</bold> overall<break/>
<bold>9%</bold> in AdCC subgroup</td>
<td valign="top" align="left">mPFS = 6.5 months</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Okada</bold> (<xref ref-type="bibr" rid="B143">143</xref>)<break/>Retrospective study</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">24 pts<break/>SDC = 12<break/>Non-SDC=12</td>
<td valign="top" align="left">&#x2022;&#x2003;<bold>Carboplatin</bold> AUC 5<break/>&#x2022;&#x2003;<bold>Docetaxel</bold> 70 mg/sqm<break/>
</td>
<td valign="top" align="center">58<break/>(37 &#x2013; 55)</td>
<td valign="top" align="left">
<bold>42%</bold>
</td>
<td valign="top" align="left">mPFS = 8.4 months</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AdCC, adenoid cystic carcinoma; AUC, Area Under the Curve (mg/ml/s); ORR, objective response rate; PD, progressive disease; PR, partial response; CR, complete response; mPFS, median progression free survival.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>According to 2021 ASCO Guidelines, symptomatic patients with R/M SGCs requiring a rapid objective response may be offered platinum-based chemotherapy combinations. Solid data on the tolerability of these regimens by the elderly population are lacking, therefore they should be offered only to fit patients. In the aforementioned studies, the median age of the population was below 65, and the majority employed cisplatin as backbone agent. However, cisplatin is rarely an option for elderly patients, due to the frequent comorbidities (e.g. renal function impairment) and the drug-related risk of nephrotoxicity and ototoxicity, which may impact on the quality of life. The replacement of cisplatin with carboplatin is generally considered less effective (<xref ref-type="bibr" rid="B141">141</xref>). The only regimens that proved a long-term clinical benefit with carboplatin were the associations with taxanes (<xref ref-type="bibr" rid="B139">139</xref>, <xref ref-type="bibr" rid="B142">142</xref>). In the latter study by Nakano et&#xa0;al., 38 SGCs patients (median age 60y) received carboplatin (AUC 6 q21) and paclitaxel (200 mg/sqm q21), reporting G3/4 neutropenia (53%), anemia (13%) and thrombocytopenia (13%). In another study, the association of carboplatin (AUC 5) and docetaxel (70 mg/sqm) provided an ORR of 42%, with a manageable safety profile (G3/4 neutropenia and anemia observed in 20-30% of the patients) (<xref ref-type="bibr" rid="B143">143</xref>).</p>
<p>Single-agent cisplatin 100 mg/sqm q21 for 4 cycles (<xref ref-type="bibr" rid="B144">144</xref>), vinorelbine (VNB) 30 mg/sqm i.v. weekly (<xref ref-type="bibr" rid="B140">140</xref>), and paclitaxel 200 mg/sqm q21 (ECOG 1394 study) (<xref ref-type="bibr" rid="B145">145</xref>) provided an objective response rate (ORR) of 18%, 20% and 16%, respectively.</p>
<p>The choice of chemotherapy should be based on the patient&#x2019;s characteristics (e.g. performace status, comorbidities, biological age) and tumor histotype. Before starting any chemotherapeutic agent, it is recommended to perform:</p>
<list list-type="bullet">
<list-item>
<p>a detailed clinical history in order to investigate the comorbidities that would impact on the choice of chemotherapy (e.g. doxorubicin is discouraged in case of cardiac dysfunction, taxanes in case of diabetic neuropathy or chronic liver disease, cisplatin in case of kidney impairment);</p>
</list-item>
<list-item>
<p>a G8 questionnaire, in order to identify the frail patients who would benefit from a comprehensive geriatric assessment and a de-escalated treatment;</p>
</list-item>
<list-item>
<p>a complete blood test including blood count, renal and liver function;</p>
</list-item>
<list-item>
<p>a baseline electrocardiogram with QTc interval.</p>
</list-item>
</list>
<p>Carboplatin and taxane combinations may be offered to fit elderly patients with non-AdCC histotypes (e.g. adenocarcinoma, NOS; SDC) requiring a tumor shrinkage. However, a careful monitoring of the complete blood count should be carried out to check the risk of treatment-related leukopenia or thrombocytopenia. Conversely, elderly patients at risk of renal insufficiency and/or taxane-related peripheral sensory neuropathy, due to concomitant comorbidities (e.g. diabetes, vasculopathy) (<xref ref-type="bibr" rid="B146">146</xref>), should receive less neurotoxic chemotherapy combinations, or single-agent vinorelbine.</p>
</sec>
<sec id="s6_2">
<title>6.2 Androgen deprivation therapy for androgen receptor expressing SGCs</title>
<p>The androgen receptor (AR) is a steroid hormone receptor activated by testosterone and the more potent dihydrotestosterone (DHT) ligands. The receptor-ligand engagement in the cytoplasm induces the AR homodimerization and translocation of the complex in the nucleus, where it acts as a transcription factor. AR is not expressed in normal salivary glands, but it is overexpressed most frequently in SDC (86%) and carcinoma ex-PA (90%). It has been found less commonly in adenocarcinoma NOS (26%), AcCC (15%), MEC (5%) and AdCC (5%). AR positivity in epithelial-myoepithelial carcinoma is anecdotal, mostly reported in the apocrine variant (<xref ref-type="bibr" rid="B147">147</xref>). AR-expressing (AR+) SDC, adenocarcinoma NOS and carcinoma ex-PA are mostly found in elderly male patients, supporting the hypothesis of a hormonal-dependence pathogenesis of these tumors. Of note, these histotypes harbor a significant quote of overlapping cases, as almost 40-50% of SDCs arise from carcinomas ex-PA (<xref ref-type="bibr" rid="B148">148</xref>).</p>
<p>As shown in prostate cancers, the androgen axis can be targeted at different levels:</p>
<list list-type="order">
<list-item>
<p>Pituitary gland: gonadotropin-releasing hormone (GnRH) receptor agonists, specifically LHRH analogs, that are the backbone of androgen-deprivation therapy (ADT) since they inhibit the synthesis of androgens;</p>
</list-item>
<list-item>
<p>Adrenal glands: abiraterone inhibits the conversion of testosterone to DHT by blocking the steroid 5&#x3b1;-reductase 1 membrane-bound enzyme;</p>
</list-item>
<list-item>
<p>Intracellular: bicalutamide and enzalutamide compete with androgens for the binding to AR, inactivating the receptor.</p>
</list-item>
</list>
<p>The association of bicalutamide and LHRH analog is known as combined androgen blockade and ADT. ADT is included by the 2021 ASCO Guidelines among the options for first- or subsequent-line setting in non-AdCC AR+ SGCs (Recommendation 6.5), on the basis of a single-arm phase II trial of leuprorelin and bicalutamide in 36 patients with AR+ R/M SGCs showing an objective response rate (ORR) of 42% (11% CR) and a median PFS of 8.8 months (<xref ref-type="bibr" rid="B149">149</xref>). The median age of this study population was 67 years (range 46&#x2013;90), 22% with &gt; 75 years, and only 14% had received ChT in the first line. Therefore, ADT could be a feasible chemo-free first-line therapy for elderly patients with AR+ SGCs. A single institution retrospective cohort study on 58 pts with SDC or high-grade adenocarcinoma NOS treated in the first line either with ADT or ChT, reported that OS was comparable in the two groups, but response rates to first-line ADT were higher than those with ChT (<xref ref-type="bibr" rid="B150">150</xref>). However, the results of the currently ongoing EORTC 1206 randomized clinical trial are expected to answer the question whether ADT is better than ChT as first-line therapy for AR<sup>+</sup> SGCs (NCT01969578).</p>
<p>A phase II trial of the second-generation antiandrogen enzalutamide administered as single-agent in a cohort of previously treated and ADT&#x2013;naive AR<sup>+</sup> SGC patients, reported an ORR of 4% (<xref ref-type="bibr" rid="B151">151</xref>). Recently, a phase II study tested the efficacy of abiraterone plus ADT in 24 patients with AR+ R/M SGCs who progressed on ADT, reporting an ORR of 21% with a mPFS of 3.65 months (95% CI, 1.94 to 5.89). Fatigue was the most frequent G3 treatment-related adverse event (AE), reported by 8% of patients (<xref ref-type="bibr" rid="B152">152</xref>). The median age of this study population was 65.8 years (range 44 &#x2013; 77). This trial paves the way to a possible anti-androgen treatment sequence in AR+ SGCs.</p>
<p>The clinical benefit from ADT seems to be higher for those cases with AR immunostaining showing strong intensity and diffusion (&#x2265; 70% of positive nuclei) (<xref ref-type="bibr" rid="B153">153</xref>), and with high AR pathway activity (<xref ref-type="bibr" rid="B154">154</xref>). However, different mechanisms of resistance have been described, from crosstalk with other pathways (HER2, glucocorticoid receptors) to alternative isoforms of AR lacking the ligand-binding domain, and AR-independent activation of the proliferative transcription program (<xref ref-type="bibr" rid="B155">155</xref>). Of note, almost 35&#x2013;50% of SDCs present the ARv7 isoform, detected by IHC also in 15% of ADT-na&#xef;ve patients (<xref ref-type="bibr" rid="B156">156</xref>). In future studies, liquid biopsies could help to investigate the role of AR-v7 as primary/secondary resistance mechanism to ADT in AR+ SGCs, as previously done in prostate cancer (<xref ref-type="bibr" rid="B157">157</xref>, <xref ref-type="bibr" rid="B158">158</xref>). Some cases with chemo-hormonal combinations have been reported (<xref ref-type="bibr" rid="B159">159</xref>), but it is still to be defined whether there is an extra benefit of the combination over the single components.</p>
</sec>
<sec id="s6_3">
<title>6.3 Targeted therapy</title>
<sec id="s6_3_1">
<title>6.3.1 HER2-blockade</title>
<p>The <italic>ERBB2</italic> gene codifies for the human epidermal growth factor receptor 2/neu (HER2/neu). HER2 expression can be detected by IHC, with a scoring reported as negative (0/1+), equivocal (2+) or positive (3+), and/or by <italic>in situ</italic> hybridization (ISH). It is overexpressed (IHC 3+ or IHC 2+ with positive ISH) in almost 8% of SGC cases (<xref ref-type="bibr" rid="B160">160</xref>), with the highest prevalence in high-grade subtypes, as it can be found in 43% of SDCs, 39% of carcinoma ex-PA, 17% of SCC and 13% of adenocarcinomas, NOS (<xref ref-type="bibr" rid="B161">161</xref>). Conversely, AdCCs express low levels of HER2, as described in a phase II study of 20 patients where 30% had HER2 IHC 1+, 5% IHC 2+ and 0% IHC 3+ score (<xref ref-type="bibr" rid="B162">162</xref>).</p>
<p>According to the 2021 ASCO Guidelines, patients with HER2-positive SGCs may receive HER2-blockade as first- or subsequent-line therapy (Recommendation 6.5). Many agents have been tested in the last years and are already approved for the treatment of R/M HER2-positive breast cancer. In <xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref> are summarized the studies that explored HER2-blockade in SGCs.</p>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>Studies that explored HER2-blockade in SGCs and median age of study populations.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">First Author</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">N. pts</th>
<th valign="top" align="center">HER2-blockade</th>
<th valign="top" align="center">Median age (range)</th>
<th valign="top" align="center">ORR (%)</th>
<th valign="top" align="center">Survival outcomes</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Agulnik</bold> (<xref ref-type="bibr" rid="B162">162</xref>)<break/>Phase II trial</td>
<td valign="top" align="left">2007</td>
<td valign="top" align="left">
<bold>20</bold> ACC<break/>
<bold>19</bold> non-ACC</td>
<td valign="top" align="left">
<bold>Lapatinib</bold> 1500 mg daily</td>
<td valign="top" align="center">52 (38 &#x2013; 72)<break/>64 (45 &#x2013; 80)</td>
<td valign="top" align="left">0 (36% SD)</td>
<td valign="top" align="left">NA</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Limaye</bold> (<xref ref-type="bibr" rid="B163">163</xref>)<break/>Retrospective study</td>
<td valign="top" align="left">2013</td>
<td valign="top" align="left">
<bold>5</bold>
<break/>SDC HER2 3+</td>
<td valign="top" align="left">TCH scheme:<break/>&#x2022;&#x2003;<bold>Trastuzumab*</bold>
<break/>&#x2022;&#x2003;<bold>Carboplatin</bold> AUC 5-6 q21<break/>&#x2022;&#x2003;<bold>Paclitaxel</bold> 175 mg/sqm q21<break/>ChT given up to 6 cycles and trastuzumab until PD</td>
<td valign="top" align="center">63<break/>(51 &#x2013; 82)</td>
<td valign="top" align="left">
<bold>100%</bold>
<break/>n.4 PR<break/>n.1 CR<break/>(at 15 months)</td>
<td valign="top" align="left">DoR=8&#x2013;18 months<break/>Patient with CR withdrawed trastuzumab after 2 years (NED) and started active surveillance</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Takahashi</bold> (<xref ref-type="bibr" rid="B164">164</xref>)<break/>Phase II trial</td>
<td valign="top" align="left">2019</td>
<td valign="top" align="left">
<bold>57</bold>
<break/>Prior systemic therapy allowed</td>
<td valign="top" align="left">&#x2022;&#x2003;<bold>Trastuzumab*</bold>
<break/>&#x2022;&#x2003;<bold>Docetaxel</bold> 70 mg/sqm q21</td>
<td valign="top" align="center">57<break/>(38 &#x2013; 82)</td>
<td valign="top" align="left">
<bold>70%</bold>
<break/>14% CR<break/>32% PR</td>
<td valign="top" align="left">mPFS=9 months</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Kurzrock</bold> (<xref ref-type="bibr" rid="B165">165</xref>)<break/>Phase IIa basket trial<break/>MYPATHWAY<break/>(NCT02091141)</td>
<td valign="top" align="left">2020</td>
<td valign="top" align="left">
<bold>15</bold>
<break/>SGCs<break/>Prior systemic therapy allowed</td>
<td valign="top" align="left">&#x2022;&#x2003;<bold>Trastuzumab*</bold>
<break/>&#x2022;&#x2003;<bold>Pertuzumab**</bold>
</td>
<td valign="top" align="center">59<break/>(37 &#x2013; 80)</td>
<td valign="top" align="left">
<bold>60%</bold>
<break/>n.8 PR<break/>n.1 CR</td>
<td valign="top" align="left">mDoR=9.2 months<break/>mPFS=8.6 mos</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Swed</bold> (<xref ref-type="bibr" rid="B166">166</xref>)<break/>Retrospective study<break/>Single institution</td>
<td valign="top" align="left">2019</td>
<td valign="top" align="left">
<bold>7</bold>
<break/>(6/7 = 86% pretreated with trastuzumab)</td>
<td valign="top" align="left">
<bold>T-DM1***</bold>
</td>
<td valign="top" align="center">58<break/>(45 &#x2013; 67)</td>
<td valign="top" align="left">[86%]<break/>n.3 CR (43%)<break/>n.3 PR (43%)<break/>n.1 mixed</td>
<td valign="top" align="left">4/6 (67%)<break/>had a duration of treatment &gt; 10 months</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">
<bold>Li</bold> (<xref ref-type="bibr" rid="B167">167</xref>)<break/>Phase II basket trial<break/>(NCT02675829)</td>
<td valign="top" rowspan="2" align="left">2019</td>
<td valign="top" align="left">
<bold>10</bold>
<break/>Pretreated with HER2-blockade (Trastuzumab, Pertuzumab)</td>
<td valign="top" align="left">
<bold>T-DM1***</bold>
</td>
<td valign="top" align="center">65<break/>(36 &#x2013; 90)</td>
<td valign="top" align="left">
<bold>90%</bold>
<break/>n.5 CR after prior HER2-blockade</td>
<td valign="top" align="left">mDoR and mPFS not reached<break/>at a median FUP of 12 months<break/>(range 4 &#x2013; 20)</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
<italic>HER2&#xa0;amplification was identified by NGS and tumors were subsequently tested by FISH and IHC. HER2&#xa0;amplification by NGS (fold change 2.8 to 22.8) correlated with HER2/CEP17 &#x2265; 2 by FISH (8/8 tested) or IHC 3+ (10/10 tested).</italic>
</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">
<bold>Jhaveri</bold> (<xref ref-type="bibr" rid="B168">168</xref>)<break/>Phase II trial<break/>NCI-MATCH subprotocol Q</td>
<td valign="top" rowspan="2" align="left">2019</td>
<td valign="top" align="left">
<bold>3</bold>
<break/>Prior systemic therapy allowed (no prior HER2 blockade)</td>
<td valign="top" align="left">
<bold>T-DM1***</bold>
</td>
<td valign="top" align="center">NR<break/>64 (39 &#x2013; 80)<break/>referred to the trial cohort</td>
<td valign="top" align="left">[67%]<break/>n.2 PR</td>
<td valign="top" align="left">6-months PFS = 23.6%<break/>DoR=24 months for a SCC of the parotid and 9 months for a MEC of the parotid</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
<italic>Eligible patients had HER2 amplification at a copy number (CN) &gt;7 based on targeted NGS with a custom Oncomine AmpliSeq&#x2122; (ThermoFisher Scientific) panel.</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Tsurutani</bold> (<xref ref-type="bibr" rid="B169">169</xref>)<break/>Phase I study</td>
<td valign="top" align="left">2020</td>
<td valign="top" align="left">
<bold>8</bold>
<break/>Pretreated with HER2-blockade</td>
<td valign="top" align="left">
<bold>T-DXd</bold>
<break/>Tested in 3 groups: non-small cell lung cancers, colorectal cancers and other cancers (including n.8 SGCs)</td>
<td valign="top" align="center">NR<break/>58 (44 &#x2013; 76)<break/>referred to the group of other cancers</td>
<td valign="top" align="left">SGCs among the histologies with promising tumor shrinkage</td>
<td valign="top" align="left">mDoR not reached (95% CI, 3.0&#x2013;not reached). mPFS = 11.0 months (95% CI, 2.8&#x2013;NE)<break/>referred to the group of other cancers</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Trastuzumab standard dose: loading dose of 8 mg/kg i.v. followed by 6 mg/kg i.v. every 3 weeks; **Pertuzumab 840 mg i.v. loading dose, followed by 420 mg i.v. every 3 weeks (q3w); ***T-DM1 = Ado-trastuzumab emtansine, 3.6 mg/kg i.v. every 3 weeks; T-DXd, Trastuzumab-deruxtecan; MEC, mucoepidermoid carcinoma; SCC, squamous cell carcinoma; NR, not reported. NA, Not Available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In a trial with docetaxel-trastuzumab (<xref ref-type="bibr" rid="B164">164</xref>) the median age of study population was 57 years (range 38-82), with 14% of patients older than 75 years; 14% of patients reported G3 febrile neutropenia, and 60% have at least one episode of G4 neutropenia, making this regimen feasible only for selected elderly patients. In a retrospective trial with the triplet of carboplatin-paclitaxel-trastuzumab, G3 fatigue and thrombocytopenia were seen in one patient each, no G4-G5 toxicities occurred and no cardiac dysfunction was seen as a result of trastuzumab-based therapy. In this small retrospective study two elderly patients were included (72 and 82 years), and both managed to receive at least 8 months of trastuzumab-taxane scheme (<xref ref-type="bibr" rid="B163">163</xref>).</p>
<p>Dual blockade with trastuzumab and pertuzumab (anti-HER2-HER3 dimerization) was tested in a phase II basket trial with 15 patients that had been previously treated with chemotherapy (patients with active brain metastases were excluded) and showed an ORR 60% with durable responses (<xref ref-type="bibr" rid="B165">165</xref>).</p>
<p>The antibody drug conjugate (ADC) Ado-trastuzumab emtansine (T-DM1) is formed by a molecule of trastuzumab linked to 3&#x2013;4 molecules of the maytansine derivative DM1, a tubuline inhibitor. T-DM1 was investigated in two basket trials where the SGC subgroup showed high objective response rates, up to 90% in the most successful one, that also included patients pretreated with HER2-blockade who achieved 50% of complete responses after prior trastuzumab, pertuzumab and androgen-deprivation therapy (<xref ref-type="bibr" rid="B167">167</xref>). The NCI-MATCH trial-subprotocol Q did not meet its primary endpoint of ORR &gt; 16% in a heavily pretreated population composed by various histologies; nevertheless, the authors warranted further studies of T-DM1 in SGCs, as 2 out 3 patients with SGCs enrolled in this trial achieved durable responses (<xref ref-type="bibr" rid="B168">168</xref>).</p>
<p>The ADC trastuzumab deruxtecan (T-DXd or DS-8201a) is formed by a molecule of trastuzumab conjugated with a topoisomerase I inhibitor payload (deruxtecan). It is currently approved in HER2-positive R/M metastatic breast cancer, pretreated with HER2-blockade. In a phase I study, HER2-amplified SDCs were among the histologies with the most pronounced tumor shrinkage, although topoisomerase inhibitors are not part of the cytotoxic agents commonly used in SGCs (<xref ref-type="bibr" rid="B169">169</xref>).</p>
<p>Globally, anti-HER2 agents provide objective and durable responses in HER2-overexpressing SGCs. Also, no specific adverse events have been related with advanced age, therefore they are potential chemo-free option for elderly patients. Despite the recently observed increase in anti-HER2 agents, there is still a therapeutic void for patients with HER2-positive SGCs. Trials are urgently needed to select the best sequencing of anti-HER2 strategies, as done in breast cancer, and also to define the optimal strategy for the patients with AR and HER2 co-expression, which display a short overall survival (<xref ref-type="bibr" rid="B170">170</xref>).</p>
</sec>
<sec id="s6_3_2">
<title>6.3.2 Multikinase inhibitors and single-targeted therapies</title>
<p>AdCC is associated with low responses to chemotherapy. However, AdCC may harbor hyperactivation of the angiogenic pathway, as demonstrated by recent in-depth analysis of the mutational landscape of recurrent or metastatic (R/M) AdCC (<xref ref-type="bibr" rid="B171">171</xref>). According to the 2021 ASCO guidelines, patients who are candidate to start systemic therapy, can receive multikinase inhibitors (MKIs) instead of ChT, on the basis of phase II trials proving the efficacy of lenvatinib and sorafenib (Recommendation 6.4) (<xref ref-type="bibr" rid="B17">17</xref>); the median age of study populations was 57y (range 38&#x2013;73) and 50y (range 21&#x2013;70), respectively (<xref ref-type="bibr" rid="B172">172</xref>, <xref ref-type="bibr" rid="B173">173</xref>). Currently, lenvatinib is the most frequently used MKI for R/M AdCC; it is a second-generation MKI directed to the targets of vascular endothelial growth factor 1-3 (VEGF1&#x2013;3), fibroblast growth factor receptors 1-2 (FGFR1&#x2013;4), RET, c-KIT, stem cell growth factor receptor (SCGFR) and platelet-derived growth factor receptor &#x3b1; (PDGFR&#x3b1;). However, up to 50% of patients treated with lenvatinib may experience G3 adverse events, global functioning impairment and increasing fatigue, especially across the first 6 months of treatment (<xref ref-type="bibr" rid="B174">174</xref>). Recently, a randomized phase II trial in R/M AdCC showed that the selective VEGFR1&#x2013;3 inhibitor axitinib, as compared with observation, with a median follow-up of 25.4 months significantly improved the 6-month PFS (73% vs 23%). Even though the ORR of axitinib was 0%, median OS was not reached with axitinib vs 27.2 months in the observation arm (p = 0.226). The cohort treated with axitinib included 30 patients with a median age of 57y (range 28 &#x2013; 77), and the most frequently reported adverse events for axitinib were oral mucositis and fatigue (<xref ref-type="bibr" rid="B175">175</xref>). Recently, at the ASCO 2022 Annual Meeting, a phase II study evaluated the efficacy and safety of the selective VEGFR2-inhibitor rivoceranib (700 mg once daily) in R/M AdCC (Kang H et&#xa0;al., abstract 6020 &#x2013; NCT04119453). The study was conducted on a population of 80 patients with median age of 54.5y (range 28-76). At a median follow-up of 15 months, ORR was 13.9% in patients pretreated with VEGFR-TKI and 16.9% in VEGFR-TKI na&#xef;ve; median PFS was 9.2 months regardless of prior anti-VEGFR treatment. 80% of the population experienced at least one G3 AE, mostly hypertension, stomatitis, anemia and fatigue. In the clinical practice, special attention should be addressed to elderly patients with comorbidities such as hypertension and impaired kidney function treated with antiangiogenic agents, as they require a full basal cardiological evaluation with echocardiogram and strict monitoring of blood pressure and proteinuria throughout the treatment.</p>
<p>AdCCs may harbor mutations in genes encoding chromatin-state regulators, <italic>TERT</italic> promoter, fibroblast growth factor (FGF)&#x2013;insulin-like growth factor (IGF)&#x2013;PI3K pathway and <italic>RET</italic> (4%) (<xref ref-type="bibr" rid="B171">171</xref>, <xref ref-type="bibr" rid="B176">176</xref>). The <italic>MYB-NFIB</italic> fusion is the diagnostic hallmark of AdCC, being present in 65 &#x2013; 80% of cases, but it is not currently actionable by approved drugs. However, the ionophoric antibiotic monensin has been recently identified as a potent <italic>MYB</italic> inhibitor in preclinical studies (<xref ref-type="bibr" rid="B177">177</xref>), and a phase I trial with TetMYB vaccine and immunotherapy (anti-PD1 agent BGB-A317) has recently completed the accrual (NCT03287427). <italic>NOTCH</italic> mutation is found in 10-22% of AdCC and identifies a subgroup of AdCCs prone to develop liver and bone metastases, leading to a dismal prognosis (<xref ref-type="bibr" rid="B178">178</xref>) especially when the <italic>MYB</italic> fusion is co-present (<xref ref-type="bibr" rid="B171">171</xref>). The phase II trial ACCURACY showed the clinical activity of pan-Notch inhibitor AL101 at 4 mg once weekly (QW), achieving a disease control rate of 68% (15% partial responses) in a cohort of 45 patients with median age of 50 years (<xref ref-type="bibr" rid="B179">179</xref>). At the ESMO 2021 Congress, the results of 6 mg QW cohort were presented, showing good tolerability of AL101 in a study population of 37 patients with median age of 59 years (<xref ref-type="bibr" rid="B180">180</xref>).</p>
<p>In non-AdCC SGCs, the use of MKIs is not recommended (<xref ref-type="bibr" rid="B181">181</xref>). However, in certain cases, single molecular targets can be addressed. <italic>NTRK</italic>&#xa0;gene fusions, codifying for oncogenic forms of tropomyosin receptor kinase (TRK), occur in an estimated 5% of cases of SGCs, including more than 90% of secretory carcinomas (SC). In the majority of cases, SC presents as an indolent nodule arising from the parotid and harbors the chromosomal translocation <italic>t(12,15)</italic> between the&#xa0;<italic>ETV6</italic>&#xa0;gene on chromosome 12 with&#xa0;<italic>NTRK3</italic>&#xa0;on chromosome 15, generating the fusion product&#xa0;<italic>ETV6</italic>&#x2013;<italic>NTRK3</italic> (<xref ref-type="bibr" rid="B33">33</xref>). The nuclear pattern of pan-TRK IHC staining has good sensitivity to detect the <italic>ETV6&#x2013;NTRK3</italic>&#xa0;fusion, helping in the differential diagnosis. From the histological prospective, secretory carcinoma could be misdiagnosed most frequently with AcCC, but also with AdCC, cystadenocarcinoma, MEC and low-grade carcinoma NOS. Recently, the efficacy of TRK-inhibitor larotrectinib for R/M SGCs has been analyzed in a study where the investigators focused on the population of two clinical trials: the phase 2 NAVIGATE basket trial (NCT02576431) and a phase 1 trial (NCT02122913). Overall, 24 patients were treated with 100 mg larotrectinib twice daily and 1 patient received 150 mg twice daily. The median age of study population was 58.5 years (range 28 &#x2013; 78). Tumor histology was SC in 54%, adenocarcinoma in 21%, and MEC in 13%, followed by AdCC, glandular sarcomatoid carcinoma, and adenocarcinoma NOS. All patients had an <italic>ETV6-NTRK3</italic> gene fusion. The ORR to larotrectinib was 92% (95% CI, 73% &#x2013; 99%), with 79% PR and 13% CR. The median time to response was 1.84 months (range 0.99 &#x2013; 5.98) and the duration of treatment ranged from 0.95 to &gt; 60.4 months, with a 36-months PFS rate of 66% and OS rate 91% (<xref ref-type="bibr" rid="B182">182</xref>). From the integrated analysis of three phase I and II clinical trials on entrectinib (ALKA-372-001, STARTRK-1, and STARTRK-2), a response to this drug was seen also in 6 out 7 patients with SC, with an ORR of 86% (<xref ref-type="bibr" rid="B183">183</xref>). Both larotrectinib and entrectinib received FDA and EMA tissue-agnostic approval, and ASCO 2021 Guidelines on SGCs recommend the use of TRK-inhibitors in first or subsequent-line, rather than chemotherapy (Recommendation 6.5) (<xref ref-type="bibr" rid="B17">17</xref>). However, different mechanisms of acquired resistance to TRK-inhibitors have been described, either on-target mutations in the drug-binding site, or off-target activation of the mitogen-activated protein kinase (MAPK) pathway (<xref ref-type="bibr" rid="B184">184</xref>&#x2013;<xref ref-type="bibr" rid="B186">186</xref>). Currently, clinical trials with next-generation TRK-inhibitors selitrectinib (NCT03215511) and repotrectinib (NCT03093116) are ongoing (<xref ref-type="bibr" rid="B187">187</xref>). Of note, a case of entrectinib-resistant SC that achieved a durable response to selitrectinib also on leptomeningeal metastases was recently reported (<xref ref-type="bibr" rid="B188">188</xref>).</p>
<p>Few cases of SC with high-grade histology and aggressive behavior have been described in association with&#xa0;<italic>ETV6-MET</italic>, <italic>ETV6-RET</italic> and <italic>VIM-RET</italic>&#xa0;fusions, which are not detectable by pan-TRK IHC and could be actionable by other targeted therapies, especially RET inhibitors in the case of <italic>ETV6-RET</italic>&#xa0;fusions (<xref ref-type="bibr" rid="B34">34</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>). Therefore, all tumors with morphological features resembling secretory carcinoma should undergo Next Generation Sequencing in order to detect the specific fusion transcripts, as recommended by the ESMO guidelines on molecular profiling of solid tumors (<xref ref-type="bibr" rid="B189">189</xref>, <xref ref-type="bibr" rid="B190">190</xref>).</p>
<p>In the last decade several studies reported single-gene potential targets with different incidence, stratified by histotypes and grade, and uncovered novel therapeutic targets by comprehensive molecular profiling (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B191">191</xref>&#x2013;<xref ref-type="bibr" rid="B193">193</xref>). For patients who may be potential candidates for systemic therapy and have SGC histologies with unknown driver mutation status, the ASCO 2021 Guidelines on SGCs recommend performing a comprehensive panel for driver mutations by NGS profiling (Recommendation 6.9) (<xref ref-type="bibr" rid="B17">17</xref>). Currently, mutations in <italic>RET, BRAF, HRAS, FGFR, PIK3CA, BRCA1/2, PTCH1</italic> genes are actionable by oral drugs already approved for other cancer types, and basket clinical trials/managed access programs are currently ongoing. This is a promising area of research also for elderly patients, usually more fragile and difficult to treat with standard chemotherapy.</p>
</sec>
</sec>
<sec id="s6_4">
<title>6.4 Immunotherapy</title>
<p>The microenvironment of SGCs is highly heterogeneous, ranging from the immune-exclusion of AdCC to the high immune-infiltration and high PD-L1 expression of high-grade histologies, such as carcinoma ex-PA (75%), MEC (57.1%) and SDC (50%) (<xref ref-type="bibr" rid="B194">194</xref>&#x2013;<xref ref-type="bibr" rid="B196">196</xref>).</p>
<p>Currently, the role of immune checkpoint inhibitors (ICI) in SGCs is a subject of active research (<xref ref-type="table" rid="T8">
<bold>Table&#xa0;8</bold>
</xref>). According to the ASCO 2021 Guidelines (<xref ref-type="bibr" rid="B17">17</xref>), ICI should be offered for patients with high tumor mutational burden (TMB) or high microsatellite instability (MSI-H). Also, the NCCN guidelines (v.1 2022) limit the use of pembrolizumab to the cases with TMB-high, on the basis of the KEYNOTE-158 study that proved the agnostic efficacy of pembrolizumab in solid tumors with TMB &#x2265; 10 mutations identified per megabase (<xref ref-type="bibr" rid="B202">202</xref>). Of note, the cohort J of KEYNOTE-158 dedicated to SGCs histology included 3 patients with TMB-high and 79 patients with TMB-low; one SGC tumor was found MSI-high. Objective responses to pembrolizumab were reported in 1/3 cases of TMB-high and in 3/79 of TMB-low. Therefore, TMB-high did not show a high sensitivity as predictive biomarker of response to anti-PD1 inhibition in SGCs. Currently, the tumor-agnostic approval of pembrolizumab upon TMB-high status has not been endorsed by the European Medical Agency.</p>
<table-wrap id="T8" position="float">
<label>Table&#xa0;8</label>
<caption>
<p>Studies that explored the efficacy of immunotherapy in SGCs and median age of study populations.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">First Author</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">N. pts</th>
<th valign="top" align="center">Immunotherapy</th>
<th valign="top" align="center">Median age (range)</th>
<th valign="top" align="center">ORR (%)</th>
<th valign="top" align="center">Survival outcomes</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Cohen</bold> (<xref ref-type="bibr" rid="B197">197</xref>)<break/>Phase Ib trial<break/>KEYNOTE-028<break/>
</td>
<td valign="top" rowspan="1" align="left">
<list list-type="simple">
<list-item>
<p>2018</p>
</list-item>
</list>
</td>
<td valign="top" align="left">26<break/>AdCC and non-AdCC*<break/>PD-L1 expression on &#x2265;1% of tumor or stroma cells required</td>
<td valign="top" align="left">
<bold>Pembrolizumab</bold> 10 mg/kg i.v. every 2 weeks</td>
<td valign="top" align="center">
<list list-type="simple">
<list-item>
<p>57</p>
</list-item>
</list>(23 &#x2013; 72)</td>
<td valign="top" align="left">12%<break/>n. 3 PR**<break/>
</td>
<td valign="top" align="left">mPFS 4 months (95% CI: 2-5 months)<break/>mOS 13 months (95% CI 6 &#x2013; NR)</td>
</tr>
<tr>
<td valign="top" align="left">
</td>
<td valign="top" align="center">
</td>
<td valign="top" colspan="5" align="left">
<italic>*Histotypes: adenocarcinoma NOS (38%), mucoepidermoid (12%), undifferentiated (8%), squamous cell (8%), and AdCC (8%). **PR observed in two adenocarcinoma NOS and in one high-grade serous carcinoma.</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Fayette</bold> (<xref ref-type="bibr" rid="B198">198</xref>)<break/>Phase II trial<break/>NISCAHN</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>2019</p>
</list-item>
</list>
</td>
<td valign="top" align="left">52 Non-AdCC<break/>46 AdCC</td>
<td valign="top" align="left">
<bold>Nivolumab</bold> 3 mg/kg IV every 2 weeks up to 12 months</td>
<td valign="top" align="center">61<break/>(29 &#x2013; 81)</td>
<td valign="top" align="left">Non-AdCC:<break/>n.2 PR (3.8%)<break/>n.22 SD (42.3%)<break/>AdCC:<break/>n.4 PR (8.7%)<break/>n.26 SD (56.5%)</td>
<td valign="top" align="left">Non-progression rate at 6 months:<break/>14% non-AdCC<break/>33.3% AdCC</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Rodriguez</bold> (<xref ref-type="bibr" rid="B199">199</xref>)<break/>Phase I/II trial</td>
<td valign="top" rowspan="2" align="left">
<list list-type="simple">
<list-item>
<p>2020</p>
</list-item>
</list>
</td>
<td valign="top" align="left">25<break/>n.12 AdCC<break/>n.3 AcCC<break/>n.3 MEC</td>
<td valign="top" align="left">&#x2022;&#x2003;<bold>Vorinostat</bold> (HDAC) 400 mg given orally 5 days on and 2 days off during each 21-day cycle<break/>&#x2022;&#x2003;<bold>Pembrolizumab</bold> 200 mg q21</td>
<td valign="top" align="center">61<break/>(33 &#x2013; 86)</td>
<td valign="top" align="left">16%<break/>(95% CI 5% - 37%)<break/>n.4 PR***<break/>n.14 SD<break/>(10 SD &gt; 6 months)</td>
<td valign="top" align="left">Median duration of treatment = 24 weeks;<break/>mDoR=10.5 months (8.7&#x2013;21)<break/>mPFS 6.9 months<break/>mOS 14 months</td>
</tr>
<tr>
<td valign="top" align="left">
</td>
<td valign="top" colspan="5" align="left">
<italic>***PR observed in one patient with lymphoepithelioma-like carcinoma of the parotid, two patients with acinic cell carcinoma, and one patient with adenoid cystic carcinoma.</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Burman</bold> (<xref ref-type="bibr" rid="B200">200</xref>)<break/>Phase II trial<break/>(NCT03172624)</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>2021</p>
</list-item>
</list>
</td>
<td valign="top" align="left">32<break/>Non-AdCC</td>
<td valign="top" align="left">&#x2022;&#x2003;<bold>Nivolumab</bold> 3 mg/kg q2 weeks<break/>&#x2022;&#x2003;<bold>Ipilimumab</bold> 1 mg/kg q6 weeks<break/>until PD or intolerant toxicity</td>
<td valign="top" align="center">
<list list-type="simple">
<list-item>
<p>64.5</p>
</list-item>
</list>(30 &#x2013; 87)</td>
<td valign="top" align="left">16% overall<break/>25% in the SDC group<break/>(profound responses)</td>
<td valign="top" align="left">Duration of therapy from 15.7 to 29.5 months</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Ferrarotto</bold> (<xref ref-type="bibr" rid="B201">201</xref>)<break/>Phase II trial<list list-type="simple">
<list-item>
<p>NCT03990571</p>
</list-item>
</list>
<break/>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>2022</p>
</list-item>
</list>
</td>
<td valign="top" align="left">28<break/>AdCC</td>
<td valign="top" align="left">&#x2022;&#x2003;<bold>Axitinib</bold> 5 mg po bid<break/>&#x2022;&#x2003;<bold>Avelumab</bold> 10 mg/kg iv q2 weeks</td>
<td valign="top" align="center">
<list list-type="simple">
<list-item>
<p>55</p>
</list-item>
<list-item>
<p>(29 &#x2013; 88)</p>
</list-item>
</list>
</td>
<td valign="top" align="left">17.5%</td>
<td valign="top" align="left">mPFS = 7.2 months (95% CI: 3.7-11.7)<break/>6-mos PFS rate = 57% (95% CI_41-79%).<break/>mOS=17.4 months (95%CI:13-NA)<break/>mDOR=5.2 mos<break/>(95% CI: 3.7-NA)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HDAC, histone deacetylase inhibitors.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>At the 2021 ASCO Annual Meeting, the results of Cohort 2 of NCT03172624 study were reported (<xref ref-type="bibr" rid="B200">200</xref>). This phase II trial included 32 patients affected by R/M non-AdCC SGCs, who received anti-PD1 nivolumab plus anti-CTLA4 ipilimumab. The majority of patients were diagnosed with SDC (38%) and AcCC (22%) histotypes. Median age was 64.5 (range 30 &#x2013; 87); 69% of the total population had received a prior chemotherapy, 22% androgen-deprivation therapy and 25% other targeted therapies (no ICI). The study met the primary endpoint of best overall response with 5 responses (16%) in the overall population, while the SDC subgroup showed a PR rate of 25% (3/12). The 5 confirmed responders had regressions ranging from -66% to -100% in target lesions, with a duration of therapy ranging from 15.7 to 29.5 months. Of note, the RNAseq analysis highlighted a correlation between baseline immune infiltration and benefit from ICI. In a recent case series of Chinese patients with R/M AdCC treated with immunotherapy, the response to PD-1 checkpoint inhibitors (camrelizumab or pembrolizumab) was related to elevated T-cell infiltration score and antigen-presenting machinery score (<xref ref-type="bibr" rid="B203">203</xref>). Recently, the immunomodulatory role of antiangiogenic drugs has been explored. At the 2022 ASCO Annual Meeting, the results of a phase II clinical trial of VEGFR1-3 inhibitor axitinib (5 mg BID) associated with PD-L1 inhibitor avelumab (10 mg/kg every 2 weeks) in patients with R/M AdCC were presented: of 28 patients with evaluable treatment efficacy, 16 had received the treatment in first line. Median age of study population was 58y (range 29 &#x2013; 88), 39% had AdCC with solid component, 36% with cribriform/tubular histology. The ORR was 14.3% (4/28, 95%CI: 4-32.7%) and responses were independent from NOTCH1 activating mutation; 6-months PFS rate was 57%. The most common treatment-related adverse events were fatigue, hypertension and diarrhea (Ferrarotto R et&#xa0;al., Abstract #6019 - NCT03990571).</p>
<p>The most relevant trials that explored the activity of immunotherapy in SGCs are resumed in <xref ref-type="table" rid="T8">
<bold>Table&#xa0;8</bold>
</xref>. Overall, the efficacy of immunotherapy is still under investigation in SGCs, but in a subset of patients it provides profound and durable responses. Reliable predictive biomarkers beyond TMB are needed, in order to select the population of patients who could benefit the most from this type of therapy usually well-tolerated also by elderly patients.</p>
</sec>
</sec>
<sec id="s7" sec-type="discussion">
<title>7 Discussion</title>
<p>Elderly patients with SGC carry a poor prognosis compared to younger patients. We have reported the incidence and the 5-years survival outcomes of the most common histotypes in the U.S. population, in order to assess whether a different distribution of histotypes in the two main age subgroups (&lt; 65y and 65y+) could explain part of this survival disparity. Good prognosis histotypes and early stage at diagnosis were more common in younger patients. Conversely, advanced stage at diagnosis and unspecified (NOS) histotypes presented more frequently in the elderly. These characteristics are possibly related to the aggressiveness of disease, poor attention to early symptoms, and difficulty in accessing referral hospitals to receive an accurate diagnosis and appropriate treatment. Such features, typically found in elderly, have been recognized as independent poor prognostic factors in SGC patients, regardless of the type of treatment (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). Also, the high proportion of &#x201c;carcinoma, NOS&#x201d; in the elderly group could be an indirect sign of suboptimal pathological diagnosis in this population.</p>
<p>Since a correct pathological diagnosis is the prerequisite for an appropriate treatment planning, proper pathological and molecular analyses should be carried out, both for diagnostic and therapeutic purposes, in order to avoid the generic diagnosis of &#x201c;carcinoma, NOS&#x201d;. As assessed in the ASCO 2021 Guidelines (Recommendation 1.6), the use of ultrasound-guided core needle biopsy (CNB) has an estimated sensitivity of 94% and specificity of 98% (<xref ref-type="bibr" rid="B204">204</xref>). Moreover, CNB has a lower inadequacy rate (1.2%) than FNAB (8%) and yields adequate material for ancillary molecular testing (<xref ref-type="bibr" rid="B205">205</xref>, <xref ref-type="bibr" rid="B206">206</xref>).</p>
<p>In Europe, the centralization for HNCs cases is feasible and active (<xref ref-type="bibr" rid="B207">207</xref>). However, existing differences among countries have been reported (<xref ref-type="bibr" rid="B208">208</xref>). In consideration of the multiple and challenging clinical variables (e.g. comorbidities, high-grade tumors, advanced stage), an optimal care of elderly patients with a diagnosis of SGC should start with a multidisciplinary tumor board evaluation, together with a G8 questionnaire, and a comprehensive geriatric assessment should be offered whenever needed (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Algorithm proposal for the clinical assessment and treatment strategies of elderly patients with SGCs. G-8,; PNI, perineural invasion; R1, microscopic residual tumor; R2, macroscopic residual tumor; ECS, extra-capsular spreading (+ present, - absent); Gy gray; fx fractions; T, tumor; N, lymph nodes; IMRT Intensity-modulated radiation therapy; V-MAT, Volumetric modulated arc therapy; IHC, immunohistochemistry; SC, secretory carcinoma; NGS, next generation sequencing; TMB, tumor mutational burden; BSC, best supportive care.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-1032471-g002.tif"/>
</fig>
<p>Surgery is the hinge of curative pathway in SGC patients, and not less so in the elderly population. An advanced chronological age is not an absolute contraindication for surgery. The tumor resectability, the extent of surgery and the expected outcomes should be discussed. In addition, screening tools such as the Age Adjusted Charlson Comorbidity Index and G8 questionnaire have to be assessed also in this setting, in order to identify frail patients and their special needs.</p>
<p>Postoperative RT is generally delivered in advanced stage, high-grade or in case of high-risk pathological features. The choice of radiation type &#x2013; by photons or heavy particles &#x2013; should be based on clinicopathological characteristics, resection margins, and facilities availability. Toxicities should be closely monitored and early managed, with a careful and continuous supportive care during the whole treatment period. For those patients not amenable to surgery, either due to the extent of disease or comorbidities, exclusive RT with radical or palliative aim would be most reasonable choice. Based on the available data, there is no evidence to support that elderly patients undergoing particle therapy should be treated differently than younger subjects. In fact, toxicity profiles and control rates favor particle therapy over photon RT. There is a general lack of information on structured quality of life assessments in the particle therapy literature throughout all age groups, and this subject should be addressed alongside future prospective clinical trials. Until further data are available, no recommendations can be made on differential treatments with particle therapy in elderly patients with SGCs.</p>
<p>The use of systemic chemotherapy, especially cisplatin-based combinations, might face some barriers in elderly patients. The choice of systemic therapy should be independent from the chronological age, but based on performance status, comorbidities and also caregivers&#x2019; support. In the last years, as a comprehensive molecular characterization of SGCs has been developed, the therapeutic options have potentially expanded, following the principles of precision oncology. However, differently from the patients affected by high-incidence malignancies harboring analogous molecular alterations, patients with molecularly targetable SGCs are penalized by the scarcity of clinical trials specifically dedicated to these rare cancers, and they can access to innovative cancer drugs mostly through basket clinical trials, managed access programs or off-label. The type of primary tumor has to be considered in the algorithm choice; for instance, taxane and gemcitabine are not recommended in AdCC due to the lack of activity. Personalized approaches are feasible, especially for some histotypes as SDC, adenocarcinoma NOS and ca ex-PA. The search for known molecular alterations (e.g. AR and HER2 in SDC and ca ex-PA) is recommended to offer an effective therapeutic alternative to chemotherapy (e.g. ADT in case of AR overexpression; HER2-blockade in case of HER2 overexpression; NTRK inhibitors in case of NTRK fusions).</p>
<p>Next Generation Sequencing is the most cost-effective approach to find further actionable targets, and this technology can be available in referral cancer centers and/or by prescreening of innovative targeted therapy-oriented clinical trials. The availability of new drugs may change among countries, and the participation of fit elderly patients into clinical trials is encouraged (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Overall, the management of elderly patients with SGCs is extremely challenging and requires a complex multidisciplinary know-how. The referral to experienced facilities is recommended also for elderly patients, in order to guarantee the most accurate diagnosis and therapeutic opportunities.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The main strategies for the treatment of patients with salivary gland cancers (AdCC and non-AdCC histotypes) readapted to the elderly population. Therapies marked with (*) have shown activity in clinical trials but are not currently licensed for R/M SGC indication. AR, androgen receptors; LHRH, luteinizing hormone-releasing hormone analogue; HER2, human epidermal growth factor receptor 2, T-DM1, trastuzumab emtansine; NTRK, neurotrophic tyrosine receptor kinase.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-1032471-g003.tif"/>
</fig>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>EC, CVL, AZ, AJ, GG, FD, LFL, VG, VVP and LDL participated in the concept design of the manuscript. EC and LDL drafted the introduction and discussion sections, developed further by all authors. Each subsection on treatments was written by specialists of the fields: Epidemiology by GG and FD. Surgery by CVL and VVP. Radiation therapy by VG and AZ. Particle therapy by AJ. Systemic therapy by EC, LFL and LDL. All authors contributed to the revision of the final manuscript and approved the submitted version.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>VVP and CVL disclosed a financial support for the publication of this article from the Walter Vandeputte Head and Neck Cancer Fund (KU Leuven, Leuven, Belgium). The remaining authors received no financial support for the publication of this article.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>Author LFL received occasional conference honoraria/Advisory Board fees from Astrazeneca, Bayer, MSD, Merck-Serono, AccMed, Neutron Therapeutics, Inc. Author LDL received conference honoraria/Advisory Board fees from EISAI, MSD, Merck Serono, McCann Healthcare, Eli Lilly, Sanofi, Sunpharma, IPSEN, Bayer, Roche. Author VVP performed consultancy services for Bristol-Meyers Squibb 2019 and for ATOS medical 2020 and is a surgical trainer for thyroid surgery for Ethicon &#x2013; J&amp;J. None of these relationships interfere with the intellectual content in the current manuscript.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<glossary>
<title>Glossary</title>
<table-wrap position="anchor">
<table>
<tbody>
<tr>
<td valign="top" align="left">ACCI</td>
<td valign="top" align="left">Age-Adjusted Charlson Comorbidity Index</td>
</tr>
<tr>
<td valign="top" align="left">ACE-27</td>
<td valign="top" align="left">Adult Comorbidity Evaluation index</td>
</tr>
<tr>
<td valign="top" align="left">AcCC</td>
<td valign="top" align="left">Acinic cell carcinoma</td>
</tr>
<tr>
<td valign="top" align="left">ADC</td>
<td valign="top" align="left">Antibody-drug conjugate</td>
</tr>
<tr>
<td valign="top" align="left">AdCC</td>
<td valign="top" align="left">Adenoid cystic carcinoma</td>
</tr>
<tr>
<td valign="top" align="left">ADT</td>
<td valign="top" align="left">Androgen deprivation therapy</td>
</tr>
<tr>
<td valign="top" align="left">AE</td>
<td valign="top" align="left">Adverse event</td>
</tr>
<tr>
<td valign="top" align="left">AFIP</td>
<td valign="top" align="left">Armed Forces Institute of Pathology</td>
</tr>
<tr>
<td valign="top" align="left">AJCC</td>
<td valign="top" align="left">American Joint Committee on Cancer</td>
</tr>
<tr>
<td valign="top" align="left">AR</td>
<td valign="top" align="left">Androgen Receptor</td>
</tr>
<tr>
<td valign="top" align="left">ASCO</td>
<td valign="top" align="left">American Society of Clinical Oncology</td>
</tr>
<tr>
<td valign="top" align="left">BSC</td>
<td valign="top" align="left">Best supportive care</td>
</tr>
<tr>
<td valign="top" align="left">Ca ex-PA</td>
<td valign="top" align="left">Carcinoma ex-pleomorphic adenoma</td>
</tr>
<tr>
<td valign="top" align="left">CAMSG</td>
<td valign="top" align="left">Cribriform adenocarcinoma of minor salivary glands</td>
</tr>
<tr>
<td valign="top" align="left">CGA</td>
<td valign="top" align="left">Comprehensive Geriatric Assessment</td>
</tr>
<tr>
<td valign="top" align="left">ChT</td>
<td valign="top" align="left">Chemotherapy</td>
</tr>
<tr>
<td valign="top" align="left">CNB</td>
<td valign="top" align="left">Core needle biopsy</td>
</tr>
<tr>
<td valign="top" align="left">CT</td>
<td valign="top" align="left">Computed tomography</td>
</tr>
<tr>
<td valign="top" align="left">CTCAE</td>
<td valign="top" align="left">Common terminology criteria for adverse events</td>
</tr>
<tr>
<td valign="top" align="left">DFS</td>
<td valign="top" align="left">Disease-free survival</td>
</tr>
<tr>
<td valign="top" align="left">DHT</td>
<td valign="top" align="left">Dihydrotestosterone</td>
</tr>
<tr>
<td valign="top" align="left">EMA</td>
<td valign="top" align="left">European Medicines Agency</td>
</tr>
<tr>
<td valign="top" align="left">ENE-</td>
<td valign="top" align="left">Without extra-nodal extension</td>
</tr>
<tr>
<td valign="top" align="left">ENE+</td>
<td valign="top" align="left">With extra-nodal extension</td>
</tr>
<tr>
<td valign="top" align="left">ESMO</td>
<td valign="top" align="left">European Society for Medical Oncology</td>
</tr>
<tr>
<td valign="top" align="left">FDA</td>
<td valign="top" align="left">Food and Drug Administration</td>
</tr>
<tr>
<td valign="top" align="left">FGF</td>
<td valign="top" align="left">Fibroblast growth factor</td>
</tr>
<tr>
<td valign="top" align="left">FGFR</td>
<td valign="top" align="left">Fibroblast growth factor receptor</td>
</tr>
<tr>
<td valign="top" align="left">FNAB</td>
<td valign="top" align="left">Fine needle aspiration biopsy</td>
</tr>
<tr>
<td valign="top" align="left">GAN</td>
<td valign="top" align="left">Greater auricular nerve</td>
</tr>
<tr>
<td valign="top" align="left">Globocan</td>
<td valign="top" align="left">Global Cancer Observatory</td>
</tr>
<tr>
<td valign="top" align="left">GnRH</td>
<td valign="top" align="left">Gonadotropin-releasing hormone</td>
</tr>
<tr>
<td valign="top" align="left">GyRBE</td>
<td valign="top" align="left">Gray relative biological effectiveness</td>
</tr>
<tr>
<td valign="top" align="left">HER2</td>
<td valign="top" align="left">Human epidermal growth factor receptor 2</td>
</tr>
<tr>
<td valign="top" align="left">HNC</td>
<td valign="top" align="left">Head and Neck cancer</td>
</tr>
<tr>
<td valign="top" align="left">HNSCC</td>
<td valign="top" align="left">Head and Neck Squamous Cell Carcinoma</td>
</tr>
<tr>
<td valign="top" align="left">HR</td>
<td valign="top" align="left">Hazard ratio</td>
</tr>
<tr>
<td valign="top" align="left">ICD-O</td>
<td valign="top" align="left">International Classification of Diseases for Oncology</td>
</tr>
<tr>
<td valign="top" align="left">ICI</td>
<td valign="top" align="left">Immune checkpoint inhibitors</td>
</tr>
<tr>
<td valign="top" align="left">IGF</td>
<td valign="top" align="left">Insulin-like growth factor</td>
</tr>
<tr>
<td valign="top" align="left">IHC</td>
<td valign="top" align="left">Immunohistochemistry</td>
</tr>
<tr>
<td valign="top" align="left">IMRT</td>
<td valign="top" align="left">Intensity-modulated radiation therapy</td>
</tr>
<tr>
<td valign="top" align="left">ISH</td>
<td valign="top" align="left">In situ hybridization</td>
</tr>
<tr>
<td valign="top" align="left">LET</td>
<td valign="top" align="left">Linear energy transfer</td>
</tr>
<tr>
<td valign="top" align="left">LHRHa</td>
<td valign="top" align="left">Luteinizing hormone releasing hormone analogues</td>
</tr>
<tr>
<td valign="top" align="left">LCR</td>
<td valign="top" align="left">Locoregional control</td>
</tr>
<tr>
<td valign="top" align="left">MAPK</td>
<td valign="top" align="left">Mitogen-activated protein kinase</td>
</tr>
<tr>
<td valign="top" align="left">MASC</td>
<td valign="top" align="left">Mammary analogue secretory carcinoma</td>
</tr>
<tr>
<td valign="top" align="left">MEC</td>
<td valign="top" align="left">Mucoepidermoid carcinoma</td>
</tr>
<tr>
<td valign="top" align="left">MKI</td>
<td valign="top" align="left">Multikinase inhibitor</td>
</tr>
<tr>
<td valign="top" align="left">MNA</td>
<td valign="top" align="left">Mini Nutritional Assessment</td>
</tr>
<tr>
<td valign="top" align="left">mPFS</td>
<td valign="top" align="left">Median progression free survival</td>
</tr>
<tr>
<td valign="top" align="left">MRI</td>
<td valign="top" align="left">Magnetic resonance imaging</td>
</tr>
<tr>
<td valign="top" align="left">MSG</td>
<td valign="top" align="left">Major salivary gland</td>
</tr>
<tr>
<td valign="top" align="left">mSG</td>
<td valign="top" align="left">Minor salivary gland</td>
</tr>
<tr>
<td valign="top" align="left">mSGC</td>
<td valign="top" align="left">Minor salivary gland cancer</td>
</tr>
<tr>
<td valign="top" align="left">MSI-H</td>
<td valign="top" align="left">High microsatellite instability</td>
</tr>
<tr>
<td valign="top" align="left">MDT</td>
<td valign="top" align="left">Multidisciplinary Team</td>
</tr>
<tr>
<td valign="top" align="left">MyoEpi</td>
<td valign="top" align="left">Myoepithelial carcinoma</td>
</tr>
<tr>
<td valign="top" align="left">NCCN</td>
<td valign="top" align="left">National Comprehensive Cancer Network</td>
</tr>
<tr>
<td valign="top" align="left">NGS</td>
<td valign="top" align="left">Next-generation sequencing</td>
</tr>
<tr>
<td valign="top" align="left">NOS</td>
<td valign="top" align="left">Not otherwise specified</td>
</tr>
<tr>
<td valign="top" align="left">ORR</td>
<td valign="top" align="left">Objective response rate</td>
</tr>
<tr>
<td valign="top" align="left">OS</td>
<td valign="top" align="left">Overall survival</td>
</tr>
<tr>
<td valign="top" align="left">PA</td>
<td valign="top" align="left">Pleomorphic adenoma</td>
</tr>
<tr>
<td valign="top" align="left">PAC</td>
<td valign="top" align="left">Polymorphous adenocarcinoma</td>
</tr>
<tr>
<td valign="top" align="left">PDGFR&#x3b1;</td>
<td valign="top" align="left">Plateled-derived growth factor receptor &#x3b1;</td>
</tr>
<tr>
<td valign="top" align="left">PD-L1</td>
<td valign="top" align="left">Programmed death-ligand 1</td>
</tr>
<tr>
<td valign="top" align="left">PFS</td>
<td valign="top" align="left">Progression free survival</td>
</tr>
<tr>
<td valign="top" align="left">PLGA</td>
<td valign="top" align="left">Polymorphous low-grade adenocarcinoma</td>
</tr>
<tr>
<td valign="top" align="left">PORT</td>
<td valign="top" align="left">Postoperative radiation therapy</td>
</tr>
<tr>
<td valign="top" align="left">QoL</td>
<td valign="top" align="left">Quality of life</td>
</tr>
<tr>
<td valign="top" align="left">QW</td>
<td valign="top" align="left">Once weekly</td>
</tr>
<tr>
<td valign="top" align="left">RBE</td>
<td valign="top" align="left">Relative biological effectiveness</td>
</tr>
<tr>
<td valign="top" align="left">R/M</td>
<td valign="top" align="left">Recurrent/metastatic</td>
</tr>
<tr>
<td valign="top" align="left">RT</td>
<td valign="top" align="left">Radiotherapy</td>
</tr>
<tr>
<td valign="top" align="left">SBRT</td>
<td valign="top" align="left">Stereotactic body radiation therapy</td>
</tr>
<tr>
<td valign="top" align="left">SC</td>
<td valign="top" align="left">Secretory carcinoma</td>
</tr>
<tr>
<td valign="top" align="left">SCAIF</td>
<td valign="top" align="left">Supraclavicular artery island flap</td>
</tr>
<tr>
<td valign="top" align="left">SCC</td>
<td valign="top" align="left">Squamous cell carcinoma</td>
</tr>
<tr>
<td valign="top" align="left">SCGFR</td>
<td valign="top" align="left">Stem cell growth factor receptor</td>
</tr>
<tr>
<td valign="top" align="left">SDC</td>
<td valign="top" align="left">Salivary duct carcinoma</td>
</tr>
<tr>
<td valign="top" align="left">SEER</td>
<td valign="top" align="left">Surveillance Epidemiology and End Results</td>
</tr>
<tr>
<td valign="top" align="left">SGC</td>
<td valign="top" align="left">Salivary gland cancer/carcinoma</td>
</tr>
<tr>
<td valign="top" align="left">SGT</td>
<td valign="top" align="left">Salivary gland tumor</td>
</tr>
<tr>
<td valign="top" align="left">SIB</td>
<td valign="top" align="left">Simultaneous integrated boost</td>
</tr>
<tr>
<td valign="top" align="left">T-DM1</td>
<td valign="top" align="left">Ado-trastuzumab emtansine</td>
</tr>
<tr>
<td valign="top" align="left">T-Dxd</td>
<td valign="top" align="left">Trastuzumab deruxtecan</td>
</tr>
<tr>
<td valign="top" align="left">TMB</td>
<td valign="top" align="left">Tumor mutational burden</td>
</tr>
<tr>
<td valign="top" align="left">TNM</td>
<td valign="top" align="left">Tumor/Node/Metastasis</td>
</tr>
<tr>
<td valign="top" align="left">TRK</td>
<td valign="top" align="left">Tropomyosin receptor kinas</td>
</tr>
<tr>
<td valign="top" align="left">UICC</td>
<td valign="top" align="left">Union for International Cancer Control</td>
</tr>
<tr>
<td valign="top" align="left">VEGF</td>
<td valign="top" align="left">Vascular endothelial growth factor</td>
</tr>
<tr>
<td valign="top" align="left">VMAT</td>
<td valign="top" align="left">Volumetric modulated arc therapy</td>
</tr>
<tr>
<td valign="top" align="left">WHO</td>
<td valign="top" align="left">World Health Organization</td>
</tr>
</tbody>
</table>
</table-wrap>
</glossary>

</back>
</article>